Signal detection method, device, equipment, chip and medium

Abstract

The invention provides a signal detection method and device, equipment, a chip and a medium, and the method comprises the steps: obtaining a receiving signal corresponding to a control resource set CORESET to be subjected to blind detection; determining signal power and noise power of a control channel element (CCE) corresponding to the candidate physical downlink control channel (PDCCH) according to the pilot signal and the received signal of the CORESET; according to the signal power and the noise power of the CCE, determining the total signal-to-noise ratio of the candidate PDCCH and the target signal-to-noise ratio of the CCE; and determining whether the candidate PDCCH contains an effective signal according to the total signal-to-noise ratio and the target signal-to-noise ratio. The technical problem of high overhead of signal detection in the prior art is solved.

Description

Technical Field

[0001] The present disclosure relates to the field of communication technologies, and in particular, to a signal detection method, apparatus, device, chip, and medium. Background Art

[0002] In the related art, during the blind detection process of the Physical Downlink Control Channel (PDCCH), all standard signal processing procedures (including channel estimation, demodulation, blind detection, and decoding) need to be performed to determine whether a signal exists. However, in actual communication scenarios, there are a large number of moments when there is no PDCCH scheduling. Therefore, the overhead of signal detection is relatively large. Summary of the Invention

[0003] The present disclosure aims to solve at least one of the technical problems in the related art to some extent.

[0004] To this end, the present disclosure provides a signal detection method, apparatus, communication device, chip, and storage medium to effectively reduce the overhead of signal detection.

[0005] An embodiment of the first aspect of the present disclosure provides a signal detection method, including: obtaining a received signal corresponding to a control resource set (CORESET) to be blindly detected; determining the signal power and noise power of a control channel element (CCE) corresponding to a candidate Physical Downlink Control Channel (PDCCH) according to the pilot signal of the CORESET and the received signal; determining the total signal-to-noise ratio of the candidate PDCCH and the target signal-to-noise ratio of the CCE according to the signal power and noise power of the CCE; and determining whether the candidate PDCCH contains a valid signal according to the total signal-to-noise ratio and the target signal-to-noise ratio.

[0006] An embodiment of the second aspect of the present disclosure provides a signal detection apparatus, including: an obtaining module, configured to obtain a received signal corresponding to a control resource set (CORESET) to be blindly detected; a first determination module, configured to determine the signal power and noise power of a control channel element (CCE) corresponding to a candidate Physical Downlink Control Channel (PDCCH) according to the pilot signal of the CORESET and the received signal; a second determination module, configured to determine the total signal-to-noise ratio of the candidate PDCCH and the target signal-to-noise ratio of the CCE according to the signal power and noise power of the CCE; and a third determination module, configured to determine whether the candidate PDCCH contains a valid signal according to the total signal-to-noise ratio and the target signal-to-noise ratio.

[0007] An embodiment of the third aspect of the present disclosure provides a communication device, including: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the signal detection method as provided in the embodiment of the first aspect of the present disclosure.

[0008] In a fourth aspect embodiment of the present disclosure, a chip is provided, which includes a processing circuit and an interface circuit. The interface circuit is configured to read instructions and send the instructions to the processing circuit, so that the processing circuit executes the signal detection method proposed in the first aspect embodiment of the present disclosure.

[0009] In a fifth aspect embodiment of the present disclosure, a computer-readable storage medium is provided, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the signal detection method as described above.

[0010] The signal detection method, device, communication device, chip and storage medium provided by the present disclosure obtain a received signal corresponding to a control resource set (CORESET) to be blindly detected, and determine the signal power and noise power of a control channel element (CCE) corresponding to a candidate physical downlink control channel (PDCCH) according to the pilot signal and the received signal of the CORESET. According to the signal power and noise power of the CCE, the total signal-to-noise ratio of the candidate PDCCH and the target signal-to-noise ratio of the CCE are determined, and whether the candidate PDCCH contains a valid signal is determined according to the total signal-to-noise ratio and the target signal-to-noise ratio. Thus, since an effective detection of whether the candidate PDCCH contains a valid signal is achieved, and it is supported to determine whether to execute the subsequent blind detection process according to the detection result, the overhead of signal detection can be effectively reduced.

[0011] Some additional aspects and advantages of the present disclosure will be given in the following description, some will become obvious from the following description, or be understood through the practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The above and / or additional aspects and advantages of the present disclosure will become obvious and easy to understand from the following description of the embodiments in conjunction with the drawings, where:

[0013] Figure 1 is a schematic diagram of the architecture of a communication system shown according to an embodiment of the present disclosure;

[0014] Figure 2 is a schematic flowchart of a signal detection method provided by an embodiment of the present disclosure;

[0015] Figure 3 is a schematic flowchart of another signal detection method provided by an embodiment of the present disclosure;

[0016] Figure 4 is a schematic flowchart of another signal detection method provided by an embodiment of the present disclosure;

[0017] Figure 5 is a schematic structural diagram of a signal detection device provided by an embodiment of the present disclosure;

[0018] Figure 6 A block diagram of an exemplary communication device suitable for implementing embodiments of the present disclosure is shown;

[0019] Figure 7 It is a schematic structural diagram of a chip proposed in an embodiment of the present disclosure;

[0020] Figure 8 It is a schematic structural diagram of another chip proposed in an embodiment of the present disclosure. Detailed implementation manners

[0021] Embodiments of the present disclosure will be described in detail below. Examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to explain the present disclosure and should not be construed as a limitation to the present disclosure.

[0022] In an embodiment of the present disclosure, the communication device may be, for example, a terminal, and there is no limitation thereto.

[0023] Figure 1 It is a schematic architecture diagram of a communication system shown according to an embodiment of the present disclosure. As Figure 1 shown, the communication system 100 may include a terminal 101 and a network device 102. The network device 102 may include at least one of an access network device and a core network device.

[0024] In some embodiments, the terminal 101 includes, for example, at least one of a mobile phone, a wearable device, an Internet of Things device, an automobile with communication function, a smart automobile, a tablet computer (Pad), a computer with wireless transceiver function, a virtual reality (VR) terminal, an augmented reality (AR) terminal, a wireless terminal in industrial control, a wireless terminal in self-driving, a wireless terminal in remote medical surgery, a wireless terminal in a smart grid, a wireless terminal in transportation safety, a wireless terminal in a smart city, and a wireless terminal in a smart home, but is not limited thereto.

[0025] In some embodiments, an access network device is, for example, a node or device that connects a terminal to a wireless network. The access network device may include at least one of an evolved NodeB (eNB) in a 5G communication system, a next-generation eNB (ng-eNB), a next-generation NodeB (gNB), a NodeB (NB), a home NodeB (HNB), a home evolved NodeB (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an Open RAN, a Cloud RAN, a base station in other communication systems, and an access node in a WiFi system, but is not limited thereto.

[0026] In some embodiments, the technical solution of the present disclosure is applicable to the Open RAN architecture. At this time, the interfaces between or within the access network devices involved in the embodiments of the present disclosure may become the internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.

[0027] In some embodiments, the access network device may be composed of a central unit (CU) and a distributed unit (DU). Among them, the CU may also be referred to as a control unit. The CU-DU structure can split the protocol layer of the access network device. The functions of some protocol layers are centrally controlled by the CU, and the functions of the remaining part or all protocol layers are distributed in the DU. The CU centrally controls the DU, but is not limited thereto.

[0028] In some embodiments, the core network device may be a single device including one or more network elements, or may be multiple devices or a group of devices, each including all or part of one or more network elements. The network elements may be virtual or physical. The core network includes, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC).

[0029] It should be understood that the communication system described in the embodiments of the present disclosure is for more clearly illustrating the technical solutions of the embodiments of the present disclosure, and does not constitute a limitation on the technical solutions proposed in the embodiments of the present disclosure. As known to those of ordinary skill in the art, with the evolution of the system architecture and the emergence of new service scenarios, the technical solutions proposed in the embodiments of the present disclosure are equally applicable to similar technical problems.

[0030] The following embodiments of the present disclosure can be applied to Figure 1 the communication system 100 shown in the figure, or some of the main bodies, but not limited thereto. Figure 1 Each of the main bodies shown in the figure is an illustration. The communication system may include Figure 1 all or some of the main bodies in the figure, or may also include Figure 1 other main bodies outside the figure. The number and form of each main body are arbitrary. The connection relationship between the main bodies is an illustration. The main bodies may or may not be connected, and their connection may be in any way, either directly or indirectly, either wired or wireless.

[0031] Embodiments of the present disclosure can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G New Radio (NR), 6th generation mobile communication system (6G), Future Radio Access (FRA), New Radio Access Technology (RAT), New Radio (NR), New radio access (NX), Future generation radio access (FX), Global System for Mobile communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (registered trademark), Public Land Mobile Network (PLMN) network, Device-to-Device (D2D) system, Machine to Machine (M2M) system, Internet of Things (IoT) system, Vehicle-to-Everything (V2X), systems using other communication methods, next-generation systems extended based on them, etc. In addition, combinations of multiple systems (for example, a combination of LTE or LTE-A and 5G, etc.) can also be applied.

[0032] In the related art, during the blind detection process of the Physical Downlink Control Channel (PDCCH), all standard signal processing procedures (including channel estimation, demodulation, blind detection, and decoding) need to be performed to determine whether a signal exists. However, in actual communication scenarios, there are a large number of moments when there is no PDCCH scheduling. Therefore, the overhead of signal detection is relatively large.

[0033] The present disclosure precisely aims to solve the technical problem of relatively large overhead of signal detection in the related art, and provides a signal detection method. By obtaining the received signal corresponding to the Control Resource SET (CORESET) to be blindly detected, and determining the signal power and noise power of the Control Channel Element (CCE) corresponding to the candidate Physical Downlink Control Channel (PDCCH) according to the pilot signal and the received signal of the CORESET, determining the total signal-to-noise ratio of the candidate PDCCH and the target signal-to-noise ratio of the CCE according to the signal power and noise power of the CCE, and determining whether the candidate PDCCH contains a valid signal according to the total signal-to-noise ratio and the target signal-to-noise ratio. Thus, since it is possible to effectively detect whether the candidate PDCCH contains a valid signal and support determining whether to execute the subsequent blind detection process according to the detection result, the overhead of signal detection can be effectively reduced.

[0034] The following describes the signal detection method, apparatus, communication device, chip, and storage medium according to the embodiments of the present disclosure with reference to the accompanying drawings.

[0035] The signal detection method provided in the embodiments of the present disclosure can be applied to a communication device, and the communication device is, for example, a terminal, and there is no limitation thereto.

[0036] The signal detection method provided in the embodiments of the present disclosure can be applied to a terminal.

[0037] Figure 2 It is a schematic flowchart of a signal detection method provided by an embodiment of the present disclosure.

[0038] As Figure 2 shown, the signal detection method includes:

[0039] Step S201: Obtain the received signal corresponding to the Control Resource SET (CORESET) to be blindly detected.

[0040] Among them, "blind detection" means that: according to the number of bits of the carried Downlink Control Information (DCI) and the channel condition, the network device can choose to use 1, 2, 4, 8, or 16 consecutive Control Channel Elements (CCEs) to carry one DCI. The number of CCEs carrying one DCI is called the aggregation level. When the terminal detects the Physical Downlink Control Channel (PDCCH), it needs to detect the DCI on different candidate PDCCHs according to a specific DCI format and Radio Network Temporary Identity (RNTI). The resource location of the candidate PDCCH is determined by the starting position of the CCE and the aggregation level. When the terminal detects the DCI, it does not know whether the network device has sent the DCI, nor does it know the aggregation level and the starting position of the CCE actually used to send the DCI. The terminal needs to try each candidate PDCCH one by one, and this process is called the blind detection of the candidate PDCCH.

[0041] Among them, the Control Resource Set (CORESET) is used to transmit candidate PDCCHs. Optionally, in some embodiments, the search space managed by the CORESET can be used to determine the candidate PDCCH set, and this candidate PDCCH set can contain multiple candidate PDCCHs.

[0042] Optionally, in some embodiments, the terminal can obtain the received signal corresponding to the CORESET to be blindly detected. For example, the terminal can receive the received signal corresponding to the CORESET to be blindly detected, and there is no limitation on this.

[0043] Optionally, in some embodiments, the received signal can be represented as Y.

[0044] Step S202: Determine the signal power and noise power of the CCE corresponding to the candidate Physical Downlink Control Channel (PDCCH) according to the pilot signal of the CORESET and the received signal.

[0045] Among them, the pilot signal is an unmodulated direct sequence spread spectrum signal continuously transmitted by the network device. The pilot signal can provide relevant demodulation phase reference and provide signal strength comparison for each network device.

[0046] Optionally, in some embodiments, channel estimation can be performed on each pilot point according to the received signal and the pilot signal of the CORESET to obtain the channel estimation value, and then the signal power and noise power of the CCE can be calculated according to the channel estimation value.

[0047] Optionally, in some embodiments, the number of CCEs corresponding to the candidate PDCCH may be one or more. If the number of CCEs corresponding to the candidate PDCCH is multiple, the signal power and noise power of each CCE corresponding to the candidate PDCCH may be obtained, and there is no limitation thereto.

[0048] Optionally, in some embodiments, the signal and the pilot signal of the CORESET may be received to perform channel estimation on each pilot point to obtain channel estimation values. Then, based on the channel estimation values of each pilot point in at least one pilot point included in the CCE, the signal power and noise power of the CCE are determined.

[0049] Optionally, in some embodiments, any possible method may be combined to determine the signal power and noise power of the CCE corresponding to the candidate PDCCH according to the pilot signal of the CORESET and the received signal. For example, it may be based on signal processing methods, artificial intelligence methods, etc., and there is no limitation thereto.

[0050] Step S203: Determine the total signal-to-noise ratio of the candidate PDCCH and the target signal-to-noise ratio of the CCE according to the signal power and noise power of the CCE.

[0051] After determining the signal power and noise power of the CCE of the candidate PDCCH, the total signal-to-noise ratio of the candidate PDCCH may be calculated based on the signal power and noise power of one or more CCEs corresponding to the candidate PDCCH.

[0052] Optionally, in some embodiments, the number of CCEs corresponding to the candidate PDCCH is consistent with the aggregation level. In the process of determining the total signal-to-noise ratio of the candidate PDCCH according to the signal power and noise power of the CCE, the signal powers of at least one CCE corresponding to the candidate PDCCH may be accumulated to obtain the accumulated signal power, and the noise powers of at least one CCE corresponding to the candidate PDCCH may be accumulated to obtain the accumulated noise power. Then, the ratio between the accumulated signal power and the accumulated noise power is calculated, and this ratio is used as the total signal-to-noise ratio of the candidate PDCCH.

[0053] Optionally, in some embodiments, the total signal-to-noise ratio of the candidate PDCCH may be used to detect whether the candidate PDCCH contains a valid signal. For specific details, refer to the subsequent embodiments.

[0054] After determining the signal power and noise power of the CCE corresponding to the candidate PDCCH, the ratio of the signal power and noise power of the CCE may be calculated, and this ratio is used as the signal-to-noise ratio of the CCE.

[0055] Optionally, in some embodiments, if the number of CCEs corresponding to a candidate PDCCH is one, the signal-to-noise ratio of this CCE can be directly used as the target signal-to-noise ratio; if the number of CCEs corresponding to a candidate PDCCH is multiple, after calculating the signal-to-noise ratio of each CCE, the minimum signal-to-noise ratio can be further determined from the multiple signal-to-noise ratios, and the minimum signal-to-noise ratio is used as the target signal-to-noise ratio of the CCE. This target signal-to-noise ratio can be used to detect whether the candidate PDCCH contains a valid signal. For specific details, please refer to the subsequent embodiments.

[0056] Step S204: Determine whether the candidate PDCCH contains a valid signal according to the total signal-to-noise ratio and the target signal-to-noise ratio.

[0057] Optionally, in some embodiments, the valid signal can be referred to as a Physical Downlink Control (PDC) signal.

[0058] After calculating the total signal-to-noise ratio of the candidate PDCCH and the target signal-to-noise ratio of the CCEs of this candidate PDCCH, it is possible to determine whether the candidate PDCCH contains a valid signal according to the total signal-to-noise ratio and the target signal-to-noise ratio.

[0059] It can be understood that if the candidate PDCCH contains a valid signal, both the total signal-to-noise ratio of the candidate PDCCH and the target signal-to-noise ratio of the CCEs need to meet certain conditions to ensure that the terminal can correctly detect the DCI. If both the total signal-to-noise ratio and the target signal-to-noise ratio do not meet this condition, it is determined that the noise of the candidate PDCCH is large, and it is very likely that this candidate PDCCH does not carry a valid signal.

[0060] Therefore, it is possible to determine whether the candidate PDCCH contains a valid signal according to the total signal-to-noise ratio and the target signal-to-noise ratio, so as to accurately detect whether the candidate PDCCH contains a valid signal. Since the detection accuracy is ensured, it is possible to effectively detect whether the candidate PDCCH contains a valid signal, support determining whether to execute the subsequent blind detection process according to the detection result, and thus effectively reduce the overhead of signal detection.

[0061] In this embodiment, by obtaining the received signal corresponding to the control resource set (CORESET) to be blindly detected, and based on the pilot signal and the received signal of the CORESET, determining the signal power and the noise power of the control channel element (CCE) corresponding to the candidate physical downlink control channel (PDCCH), based on the signal power and the noise power of the CCE, determining the total signal-to-noise ratio of the candidate PDCCH and the target signal-to-noise ratio of the CCE, and based on the total signal-to-noise ratio and the target signal-to-noise ratio, determining whether the candidate PDCCH contains a valid signal. Thus, since an effective detection of whether the candidate PDCCH contains a valid signal is achieved, and it is supported to determine whether to execute the subsequent blind detection process according to the detection result, the overhead of signal detection can be effectively reduced.

[0062] Optionally, in some embodiments of the present disclosure, in the process of implementing the determination of the signal power and the noise power of the CCE corresponding to the candidate PDCCH based on the pilot signal and the received signal of the CORESET, it may be to determine the initial channel estimation value corresponding to each pilot point based on the pilot signal and the received signal of the CORESET (for example, the least squares channel estimation can be used), and based on the initial channel estimation values of all pilot points within the CCE, determining the signal power corresponding to the CCE (such as the average signal power), determining the average channel estimation value of the initial channel estimation values of all pilot points within the CCE, and based on the average channel estimation value and multiple initial channel estimation values, determining the noise power corresponding to the CCE (such as the average noise power). Thus, the calculation accuracy of the signal power and the noise power can be improved, and the accuracy of signal detection is supported to be improved.

[0063] Exemplarily, the received data of the CORESET to be blindly detected is extracted from the frequency domain data, the pilot signal of the CORESET is calculated and obtained, and the least squares channel estimation is performed on the pilot points. The calculation formula is as follows:

[0064]

[0065] where Y is the received signal, X is the pilot signal, "X H " represents taking the conjugate of the matrix of the pilot signal X, p represents the p-th pilot point, represents the initial channel estimation value of the pilot point p.

[0066] Exemplarily, taking the number of CCEs corresponding to the candidate PDCCH as multiple for example, the candidate PDCCH set to be blindly detected and the corresponding CCE positions can be determined according to the search space managed by the CORESET. For each CCE, the average signal power and the noise power are obtained. The calculation formula is as follows:

[0067]

[0068]

[0069] Among them, for cce i All pilot points in the summation, For cce i The mean of the initial channel estimates of all pilot points in (an optional example of an average channel estimate), Indicates cce i The signal power, Indicates cce i The noise power.

[0070] Figure 3 A flowchart of another signal detection method provided by an embodiment of the present disclosure.

[0071] like Figure 3 As shown, the signal detection method comprises:

[0072] Step S301: Acquire a received signal corresponding to a control resource set CORESET to be blindly detected.

[0073] Step S302: Determine the signal power and noise power of the CCE corresponding to the candidate physical downlink control channel PDCCH according to the pilot signal and the received signal of the CORESET.

[0074] Step S303: Determine the total signal-to-noise ratio of the candidate PDCCH and the target signal-to-noise ratio of the CCE according to the signal power and noise power of the CCE.

[0075] For the description of S301 - S303 , please refer to the above embodiment, which will not be repeated here.

[0076] Step S304: determine whether the total signal-to-noise ratio is less than a first signal-to-noise ratio threshold, and obtain a first result.

[0077] It can be understood that if the candidate PDCCH contains a valid signal, the total signal-to-noise ratio and the target signal-to-noise ratio of the candidate PDCCH must meet certain conditions to ensure that the terminal can correctly detect the DCI. If both the total signal-to-noise ratio and the target signal-to-noise ratio do not meet the conditions, it is determined that the noise of the candidate PDCCH is large, and the candidate PDCCH is more likely to not carry a valid signal.

[0078] Optionally, in some embodiments, it may be determined whether the total signal-to-noise ratio is less than a first signal-to-noise ratio threshold to obtain a first result. The first signal-to-noise ratio threshold refers to a threshold value of the signal-to-noise ratio that ensures that the total signal-to-noise ratio satisfies a certain condition. When the total signal-to-noise ratio is less than the first signal-to-noise ratio threshold, it is highly likely that the candidate PDCCH noise is large. If the total signal-to-noise ratio is greater than or equal to the first signal-to-noise ratio threshold, it is highly likely that the candidate PDCCH noise is relatively small.

[0079] Step S305: Determine whether the target signal-to-noise ratio is less than the second signal-to-noise ratio threshold to obtain a second result.

[0080] Optionally, in some embodiments, to improve the detection accuracy of whether the candidate PDCCH contains a valid signal, the total signal-to-noise ratio and the target signal-to-noise ratio can also be jointly determined. It can be determined whether the target signal-to-noise ratio is less than the second signal-to-noise ratio threshold to obtain a second result. Herein, the second signal-to-noise ratio threshold refers to the threshold of the signal-to-noise ratio that ensures the target signal-to-noise ratio meets certain conditions. When the target signal-to-noise ratio is less than the second signal-to-noise ratio threshold, it is more likely to determine that the candidate PDCCH has a large noise. If the target signal-to-noise ratio is greater than or equal to the second signal-to-noise ratio threshold, there is a certain probability to determine that the candidate PDCCH has a relatively small noise.

[0081] Step S306: Determine whether the candidate PDCCH contains a valid signal according to the first result and the second result.

[0082] In the embodiments of the present disclosure, it can be jointly determined whether the candidate PDCCH contains a valid signal according to the above first result and the second result.

[0083] Optionally, in some embodiments, when the first result is that the total signal-to-noise ratio is less than the first signal-to-noise ratio threshold and the second result is that the target signal-to-noise ratio is less than the second signal-to-noise ratio threshold, it is determined that the candidate PDCCH does not contain a valid signal. That is to say, if the total signal-to-noise ratio is less than the first signal-to-noise ratio threshold and the target signal-to-noise ratio is less than the second signal-to-noise ratio threshold, it is determined that the candidate PDCCH has a large noise. At this time, it can be determined that the candidate PDCCH does not contain a valid signal.

[0084] Optionally, in some embodiments, when the first result is that the total signal-to-noise ratio is greater than or equal to the first signal-to-noise ratio threshold or the second result is that the target signal-to-noise ratio is greater than or equal to the second signal-to-noise ratio threshold, rate matching is performed on the candidate PDCCH to obtain the signal mean value of the candidate PDCCH, and it is determined whether the candidate PDCCH contains a valid signal according to the signal mean value. Thereby, it can support improving the accuracy of signal detection.

[0085] In this embodiment, by obtaining the received signal corresponding to the control resource set (CORESET) to be blindly detected, and based on the pilot signal and the received signal of the CORESET, determining the signal power and noise power of the control channel element (CCE) corresponding to the candidate physical downlink control channel (PDCCH), determining the total signal-to-noise ratio of the candidate PDCCH and the target signal-to-noise ratio of the CCE according to the signal power and noise power of the CCE, and determining whether the candidate PDCCH contains a valid signal according to the total signal-to-noise ratio and the target signal-to-noise ratio. Thus, since an effective detection of whether the candidate PDCCH contains a valid signal is achieved, and it is supported to determine whether to execute the subsequent blind detection process according to the detection result, the overhead of signal detection can be effectively reduced. By judging whether the total signal-to-noise ratio is less than the first signal-to-noise ratio threshold to obtain a first result, judging whether the target signal-to-noise ratio is less than the second signal-to-noise ratio threshold to obtain a second result, and determining whether the candidate PDCCH contains a valid signal according to the first result and the second result, thus, the accuracy of detecting whether the candidate PDCCH contains a valid signal can be supported to be improved to a great extent.

[0086] Figure 4 FIG. 4 is a schematic flowchart of another signal detection method provided by an embodiment of the present disclosure.

[0087] As Figure 4 shown, the signal detection method includes:

[0088] Step S401: Obtain the received signal corresponding to the control resource set (CORESET) to be blindly detected.

[0089] Step S402: Determine the signal power and noise power of the CCE corresponding to the candidate physical downlink control channel (PDCCH) according to the pilot signal and the received signal of the CORESET.

[0090] Step S403: Determine the total signal-to-noise ratio of the candidate PDCCH and the target signal-to-noise ratio of the CCE according to the signal power and noise power of the CCE.

[0091] Step S404: Judge whether the total signal-to-noise ratio is less than the first signal-to-noise ratio threshold to obtain a first result.

[0092] Step S405: Judge whether the target signal-to-noise ratio is less than the second signal-to-noise ratio threshold to obtain a second result.

[0093] Step S406: When the first result is that the total signal-to-noise ratio is less than the first signal-to-noise ratio threshold and the second result is that the target signal-to-noise ratio is less than the second signal-to-noise ratio threshold, determine that the candidate PDCCH does not contain a valid signal.

[0094] For the descriptions of S401-S406, specific reference can be made to the above embodiment, which will not be elaborated here.

[0095] Exemplarily, for each blindly detected candidate PDCCH with an aggregation level of L, when its total signal-to-noise ratio is less than the threshold ThrX L (An optional example of the first signal-to-noise ratio threshold), different aggregation levels may correspond to different first signal-to-noise ratio thresholds, and at the same time, the target signal-to-noise ratio is less than the threshold ThrY (an optional example of the second signal-to-noise ratio threshold), and the calculation formula is as follows:

[0096]

[0097] When the above determination conditions are met simultaneously, it is considered that there is no valid PDC signal in the current candidate PDCCH.

[0098] Step S407: In the case where the first result is that the total signal-to-noise ratio is greater than or equal to the first signal-to-noise ratio threshold, or the second result is that the target signal-to-noise ratio is greater than or equal to the second signal-to-noise ratio threshold, perform linear interpolation on the initial channel estimation values of all pilot points within the CCE to obtain the reference channel estimation values of each data point within the CCE.

[0099] Optionally, in some embodiments, in the case where the first result is that the total signal-to-noise ratio is greater than or equal to the first signal-to-noise ratio threshold, or the second result is that the target signal-to-noise ratio is greater than or equal to the second signal-to-noise ratio threshold, in order to improve the accuracy of signal detection, linear interpolation may be performed on the initial channel estimation values of all pilot points within the CCE to obtain the reference channel estimation values of each data point within the CCE. The "reference channel estimation values of each data point within the CCE" can be used to determine the signal mean of the candidate PDCCH.

[0100] Step S408: Determine the symbol estimation value corresponding to the CCE according to the reference channel estimation value, the partial signal corresponding to each data point, and the noise power, where the partial signal belongs to the received signal.

[0101] Exemplarily, for each cce i , through the channel estimation of the pilot (An optional example of the initial channel estimation value) of linear interpolation, obtain the channel estimation of each data point (An optional example of the reference channel estimation value), obtain the symbol estimation value through maximum ratio combining between antennas, and the calculation formula is as follows:

[0102]

[0103] Wherein, represents the symbol estimation value, j represents the jth data point, Y j represents the partial signal corresponding to the jth data point (which can be extracted from the received signal Y), Denote the reference channel estimation value of the j-th data point. For the descriptions of other parameters, please refer to the above embodiments and will not be elaborated here.

[0104] Step S409: Determine the average soft value corresponding to the CCE according to the number of data points in the CCE and multiple symbol estimation values.

[0105] After obtaining the symbol estimation value corresponding to the CCE as described above, determine the average soft value corresponding to the CCE according to the number of data points in the CCE and multiple symbol estimation values.

[0106] Exemplarily, for the cce i Obtain the mean soft value llr i (An optional example of the average soft value), the calculation formula is as follows:

[0107]

[0108] Where, N d Is the number of data points in the cce i Inside, Denote taking Of the real part, Denote taking Of the imaginary part.

[0109] Step S410: Determine the signal mean value of the candidate PDCCH according to the average soft value and aggregation level of the CCE corresponding to the candidate PDCCH.

[0110] Optionally, in some embodiments, in the process of implementing the determination of the signal mean value of the candidate PDCCH according to the average soft value and aggregation level of the CCE corresponding to the candidate PDCCH, it may be to perform an averaging process on the average soft value of the CCE corresponding to the candidate PDCCH based on the aggregation level, and use the value obtained from the averaging process as the signal mean value of the candidate PDCCH.

[0111] Exemplarily, for each blindly detected candidate PDCCH, its average soft value (an optional example of the signal mean value) is:

[0112]

[0113] Where, L represents the aggregation level.

[0114] Step S411: Determine whether the candidate PDCCH contains a valid signal according to the signal mean value.

[0115] Optionally, in some embodiments, in the process of determining whether a candidate PDCCH contains a valid signal according to the signal mean value, it may be determined whether the signal mean value is less than the mean threshold value to obtain a third result, and whether the candidate PDCCH contains a valid signal is determined according to the third result. Thus, it is possible to largely support improving the accuracy of detecting whether a candidate PDCCH contains a valid signal.

[0116] It can be understood that if a candidate PDCCH contains a valid signal, the signal mean value of the candidate PDCCH needs to meet certain conditions to ensure that the terminal can correctly detect the DCI. If the signal mean value of the candidate PDCCH does not meet this condition, it is determined that the candidate PDCCH is very likely not to carry a valid signal.

[0117] Optionally, in some embodiments, in the process of determining whether a candidate PDCCH contains a valid signal according to the third result, it may be that when the third result is that the signal mean value is less than the mean threshold value, it is determined that the candidate PDCCH does not contain a valid signal, and when the third result is that the signal mean value is greater than or equal to the mean threshold value, it is determined that the candidate PDCCH contains a valid signal.

[0118] Among them, the mean threshold value may be the threshold value of the signal mean value for determining that a candidate PDCCH contains a valid signal. If the signal mean value of a candidate PDCCH is less than the mean threshold value, it indicates that the candidate PDCCH does not contain a valid signal. If the signal mean value of a candidate PDCCH is greater than or equal to the mean threshold value, it indicates that the candidate PDCCH contains a valid signal.

[0119] Exemplarily, for each blindly detected candidate PDCCH, its average soft value threshold is less than the threshold (an optional example of the mean threshold value), and the formula is as follows:

[0120]

[0121] Then it is considered that the current candidate PDCCH has no valid PDC signal.

[0122] In this embodiment, by obtaining the received signal corresponding to the control resource set CORESET to be blindly detected, and based on the pilot signal and the received signal of the CORESET, determining the signal power and noise power of the control channel element CCE corresponding to the candidate physical downlink control channel PDCCH, determining the total signal-to-noise ratio of the candidate PDCCH and the target signal-to-noise ratio of the CCE according to the signal power and noise power of the CCE, and determining whether the candidate PDCCH contains a valid signal according to the total signal-to-noise ratio and the target signal-to-noise ratio. Thus, since an effective detection of whether the candidate PDCCH contains a valid signal is achieved, and it is supported to determine whether to execute the subsequent blind detection process according to the detection result, the overhead of signal detection can be effectively reduced. By determining whether the total signal-to-noise ratio is less than the first signal-to-noise ratio threshold to obtain a first result, determining whether the target signal-to-noise ratio is less than the second signal-to-noise ratio threshold to obtain a second result, and determining whether the candidate PDCCH contains a valid signal according to the first result and the second result, thus, it can greatly support improving the accuracy of detecting whether the candidate PDCCH contains a valid signal.

[0123] Optionally, in an embodiment of the present disclosure, when the candidate PDCCH does not contain a valid signal, the target operation may not be performed on the candidate PDCCH, where the target operation includes at least one of the following: demodulation, blind detection, and decoding. Thus, the overhead of signal detection can be greatly reduced, and it is supported to reduce the power consumption required for terminal blind detection.

[0124] Optionally, in some embodiments, the target operation may further include some operations in channel estimation, and there is no limitation thereto.

[0125] The following is an example illustration of the above embodiment:

[0126] Optionally, in some embodiments, for each blindly detected candidate PDCCH with an aggregation level of L, when its total signal-to-noise ratio is less than the threshold ThrX L (an optional example of the first signal-to-noise ratio threshold), different aggregation levels may correspond to different first signal-to-noise ratio thresholds, and at the same time, when the target signal-to-noise ratio is less than the threshold ThrY (an optional example of the second signal-to-noise ratio threshold), the formula is as follows:

[0127]

[0128] When the above determination conditions are satisfied simultaneously, it is considered that the current candidate PDCCH has no valid PDC signal.

[0129] Optionally, in some embodiments, for each blindly detected candidate PDCCH with an aggregation level of L, when its total signal-to-noise ratio is less than the threshold ThrX L(An optional example of the first signal-to-noise ratio threshold), the target signal-to-noise ratio is greater than the threshold ThrY (an optional example of the second signal-to-noise ratio threshold), and the arithmetic formula is as follows:

[0130]

[0131] Since the target signal-to-noise ratio does not meet the condition for judging an effective PDC signal, for each candidate PDCCH detected blindly, its average soft value threshold is less than the threshold (an optional example of the mean threshold), and the arithmetic formula is as follows:

[0132]

[0133] Then it is considered that the current candidate PDCCH has no effective PDC signal.

[0134] In summary, in the embodiments of the present disclosure, the consistency of the resource distribution within the candidate PDCCH set is judged, the modulation characteristics of the pilot signal and Quadrature Phase Shift Keying (QPSK) are used, and the rate matching of the PDCCH coding is also utilized to improve the accuracy of the judgment. It is possible to quickly judge in advance whether the candidate PDCCH contains an effective signal, and the judgment result can be used as the basis for skipping part of the blind detection process and turning off the Radio Frequency (RF), achieving the purpose of reducing the power consumption of the terminal.

[0135] Figure 5 It is a schematic structural diagram of a signal detection device provided by the embodiments of the present disclosure.

[0136] As Figure 5 shown, the signal detection device 50 includes:

[0137] An acquisition module 501, configured to acquire a received signal corresponding to a control resource set CORESET to be blindly detected.

[0138] A first determination module 502, configured to determine the signal power and noise power of a control channel element CCE corresponding to a candidate physical downlink control channel PDCCH according to the pilot signal of the CORESET and the received signal.

[0139] A second determination module 503, configured to determine the total signal-to-noise ratio of the candidate PDCCH and the target signal-to-noise ratio of the CCE according to the signal power and noise power of the CCE.

[0140] A third determination module 504, configured to determine whether the candidate PDCCH contains an effective signal according to the total signal-to-noise ratio and the target signal-to-noise ratio.

[0141] It should be noted that the foregoing explanation of the signal detection method embodiment also applies to the signal detection device of this embodiment, and will not be elaborated here.

[0142] In this embodiment, by obtaining the received signal corresponding to the control resource set CORESET to be blindly detected, and determining the signal power and noise power of the control channel element CCE corresponding to the candidate physical downlink control channel PDCCH according to the pilot signal and the received signal of the CORESET, the total signal-to-noise ratio of the candidate PDCCH and the target signal-to-noise ratio of the CCE are determined according to the signal power and noise power of the CCE, and whether the candidate PDCCH contains a valid signal is determined according to the total signal-to-noise ratio and the target signal-to-noise ratio. Thus, since the effective detection of whether the candidate PDCCH contains a valid signal is realized, and it is supported to determine whether to execute the subsequent blind detection process according to the detection result, the overhead of signal detection can be effectively reduced.

[0143] To implement the foregoing embodiment, the present disclosure also proposes a communication device, including: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method provided in the foregoing embodiment.

[0144] Figure 6 A block diagram of an exemplary communication device suitable for implementing the embodiments of the present disclosure is shown. Figure 6 The shown communication device 12 is only an example and should not impose any limitation on the functions and usage scope of the embodiments of the present disclosure. The communication device can be, for example, a terminal, and there is no limitation thereto.

[0145] As Figure 6 shown, the communication device 12 is presented in the form of a general-purpose computing device. The components of the communication device 12 may include, but are not limited to: one or more processors or processing units 16, a memory 28, and a bus 18 connecting different system components (including the memory 28 and the processing unit 16).

[0146] Bus 18 represents one or more of several types of bus architectures, including a memory bus or memory controller, a peripheral bus, an Accelerated Graphics Port, a processor bus, or a local bus using any of the several bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnection (PCI) bus.

[0147] The communication device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the communication device 12, including both volatile and nonvolatile media, removable and non-removable media.

[0148] The memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and / or cache 32. The communication device 12 may further include other removable / non-removable, volatile / nonvolatile computer system storage media. By way of example only, storage system 34 can be used for reading from and writing to non-removable, nonvolatile magnetic media ( Figure 6 not shown and typically called a "hard disk drive").

[0149] Although Figure 6 not shown in the figures, a disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from and writing to a removable, nonvolatile optical disk (e.g., a Compact Disc Read Only Memory (CD-ROM), a Digital Video Disc Read Only Memory (DVD-ROM), or other optical media) can be provided. In such cases, each drive can be connected to the bus 18 by one or more data media interfaces. The memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of the embodiments of the present disclosure.

[0150] A program / utilities 40 having a set (at least one) of program modules 42 can be stored, for example, in a memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. The program modules 42 generally execute the functions and / or methods in the embodiments described in this disclosure.

[0151] The communication device 12 can also communicate with one or more external devices 14 (such as a keyboard, a pointing device, a display 24, etc.), can also communicate with one or more devices that enable a human body to interact with the communication device 12, and / or can communicate with any device that enables the communication device 12 to communicate with one or more other computing devices (such as a network card, a modem, etc.). Such communication can be carried out through an input / output (I / O) interface 22. Moreover, the communication device 12 can also communicate with one or more networks (such as a Local Area Network (LAN), a Wide Area Network (WAN), and / or a public network, such as the Internet) through a network adapter 20. As shown in the figure, the network adapter 20 communicates with other modules of the communication device 12 through a bus 18. It should be understood that although not shown in the figure, other hardware and / or software modules can be used in combination with the communication device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.

[0152] The processing unit 16 executes various functional applications and data processing by running programs stored in the memory 28, such as implementing the methods mentioned in the foregoing embodiments.

[0153] To implement the above embodiments, the present disclosure also proposes a chip, including: The chip includes a processing circuit, and the processing circuit is configured to execute the method provided in the foregoing embodiments.

[0154] Figure 7 It is a schematic structural diagram of a chip proposed by an embodiment of the present disclosure. Reference can be made to Figure 7 the schematic structural diagram of the chip 700 shown, but not limited thereto.

[0155] The chip 700 includes a processing circuit 701 and an interface circuit 702. The interface circuit 702 is used to read instructions, and the interface circuit 702 sends the instructions to the processing circuit 701 so that the processing circuit 701 executes the above method.

[0156] Optionally, as Figure 8 shown, Figure 8It is a schematic structural diagram of another chip proposed by an embodiment of the present disclosure. The chip 700 may further include: a memory 703 for storing instructions, and the interface circuit 702 may be used to read the instructions stored in the memory 703.

[0157] Optionally, the interface circuit 702 is connected to the memory 703. The interface circuit 702 may be used to receive signals from the memory 703 or other devices, and the interface circuit 702 may be used to send signals to the memory 703 or other devices. For example, the interface circuit 702 may read the instructions stored in the memory 703 and send the instructions to the processing circuit 701.

[0158] Optionally, the number of memories 703 may be one or more. The number of interface circuits 702 may also be one or more. In some embodiments, the interface circuit 702 executes at least one of the communication steps such as sending and / or receiving in the above method, and the processing circuit 701 executes other steps.

[0159] In some embodiments, terms such as interface circuit, interface, transceiver pin, transceiver, etc. may be used interchangeably.

[0160] Optionally, all or part of the memory 703 may also be outside the chip 700.

[0161] To implement the above embodiments, the present disclosure also proposes a non-transitory computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the method proposed by the foregoing embodiments of the present disclosure.

[0162] To implement the above embodiments, the present disclosure also proposes a computer program product. When the instructions in the computer program product are executed by a processor, they execute the method proposed by the foregoing embodiments of the present disclosure.

[0163] The collection, storage, use, processing, transmission, provision, and disclosure of user personal information involved in the present disclosure all comply with the provisions of relevant laws and regulations and do not violate public order and good customs.

[0164] It should be noted that personal information from users should be collected for legal and reasonable purposes and should not be shared or sold outside of these legal uses. In addition, such collection / sharing should be carried out after obtaining the informed consent of the user, including but not limited to notifying the user to read the user agreement / user notice and signing an agreement / authorization including authorizing relevant user information before the user uses the function. In addition, any necessary steps should be taken to protect and safeguard access to such personal information data and ensure that others with access to the personal information data comply with their privacy policies and procedures.

[0165] The present disclosure anticipates embodiments that can provide users with the option to selectively block the use or access of personal information data. That is, the present disclosure anticipates being able to provide hardware and / or software to prevent or block access to such personal information data. Once the personal information data is no longer needed, the risk can be minimized by restricting data collection and deleting the data. In addition, when applicable, personal identifiers are removed from such personal information to protect the privacy of the user.

[0166] In the foregoing descriptions of the various embodiments, the descriptions referring to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc., mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic descriptions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0167] In addition, the terms "first" and "second" are used only for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of such features. In the description of the present disclosure, the meaning of "a plurality" is at least two, such as two, three, etc., unless otherwise specifically defined.

[0168] Any process or method description in a flowchart or described in other ways herein can be understood to represent a module, segment, or portion of code including one or more executable instructions for implementing a customized logic function or process, and the scope of the preferred embodiments of the present disclosure includes additional implementations, where the functions may be executed in a manner that is not shown or discussed, including in a substantially simultaneous manner according to the functions involved or in a reverse order, which should be understood by those skilled in the art to which the embodiments of the present disclosure pertain.

[0169] The logic and / or steps represented in the flowchart or otherwise described herein can, for example, be considered as a definitional sequence list of executable instructions for implementing logical functions, which can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or used in conjunction with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection portion having one or more wirings (electronic device), a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, as the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or otherwise processing as appropriate, and then storing it in a computer memory.

[0170] It should be understood that various parts of the present disclosure can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having suitable combinational logic gate circuits, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0171] Those of ordinary skill in the art of this technology can understand that all or part of the steps carried by the method of the above embodiments can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0172] In addition, each functional unit in various embodiments of the present disclosure may be integrated into a processing module, may exist physically alone for each unit, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0173] The above-mentioned storage medium may be a read-only memory, a magnetic disk, an optical disc, etc. Although the embodiments of the present disclosure have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present disclosure.

Claims

1. A signal detection method, characterized in that, Comprising: Obtaining a received signal corresponding to a control resource set CORESET to be blindly detected; Determining a signal power and a noise power of a control channel element CCE corresponding to a candidate physical downlink control channel PDCCH according to the pilot signal of the CORESET and the received signal; Determining a total signal-to-noise ratio of the candidate PDCCH and a target signal-to-noise ratio of the CCE according to the signal power and the noise power of the CCE; and Determining whether the candidate PDCCH contains a valid signal according to the total signal-to-noise ratio and the target signal-to-noise ratio.

2. The method according to claim 1, wherein The determining the signal power and the noise power of the CCE corresponding to the candidate PDCCH according to the pilot signal of the CORESET and the received signal includes: Determining an initial channel estimation value corresponding to each pilot point according to the pilot signal of the CORESET and the received signal; Determining a signal power corresponding to the CCE according to the initial channel estimation values of all pilot points within the CCE; Determining an average channel estimation value of the initial channel estimation values of all pilot points within the CCE; Determining a noise power corresponding to the CCE according to the average channel estimation value and a plurality of the initial channel estimation values.

3. The method according to claim 1, characterized in that, The determining whether the candidate PDCCH contains a valid signal according to the total signal-to-noise ratio and the target signal-to-noise ratio includes: Judging whether the total signal-to-noise ratio is less than a first signal-to-noise ratio threshold to obtain a first result; Judging whether the target signal-to-noise ratio is less than a second signal-to-noise ratio threshold to obtain a second result; Determining whether the candidate PDCCH contains a valid signal according to the first result and the second result.

4. The method according to claim 3, wherein The determining whether the candidate PDCCH contains a valid signal according to the first result and the second result includes: Determining that the candidate PDCCH does not contain a valid signal when the first result is that the total signal-to-noise ratio is less than the first signal-to-noise ratio threshold and the second result is that the target signal-to-noise ratio is less than the second signal-to-noise ratio threshold; When the first result is that the total signal-to-noise ratio is greater than or equal to the first signal-to-noise ratio threshold, or the second result is that the target signal-to-noise ratio is greater than or equal to the second signal-to-noise ratio threshold, performing rate matching on the candidate PDCCH to obtain a signal mean value of the candidate PDCCH, and determining whether the candidate PDCCH contains a valid signal according to the signal mean value.

5. The method according to claim 4, wherein The performing rate matching on the candidate PDCCH to obtain a signal mean value of the candidate PDCCH includes: Performing linear interpolation on the initial channel estimation values of all pilot points within the CCE to obtain a reference channel estimation value of each data point within the CCE; Determining a symbol estimation value corresponding to the CCE according to the reference channel estimation value, a partial signal corresponding to each data point, and the noise power, wherein the partial signal belongs to the received signal; Determining an average soft value corresponding to the CCE according to the number of data points within the CCE and a plurality of the symbol estimation values; Determining a signal mean value of the candidate PDCCH according to the average soft value of the CCE corresponding to the candidate PDCCH and an aggregation level.

6. The method according to claim 5, characterized in that, Determining the signal mean value of the candidate PDCCH according to the average soft value and aggregation level of the CCE corresponding to the candidate PDCCH includes: Performing an averaging process on the average soft value of the CCE corresponding to the candidate PDCCH based on the aggregation level, and using the value obtained from the averaging process as the signal mean value of the candidate PDCCH.

7. The method according to claim 4, wherein Determining whether the candidate PDCCH contains a valid signal according to the signal mean value includes: Judging whether the signal mean value is less than the mean threshold value to obtain a third result; Determining whether the candidate PDCCH contains a valid signal according to the third result.

8. The method according to claim 7, wherein Determining whether the candidate PDCCH contains a valid signal according to the third result includes: When the third result is that the signal mean value is less than the mean threshold value, determining that the candidate PDCCH does not contain a valid signal; When the third result is that the signal mean value is greater than or equal to the mean threshold value, determining that the candidate PDCCH contains a valid signal.

9. A signal detection device, characterized in that, Includes: An acquisition module for acquiring the received signal corresponding to the control resource set CORESET to be blindly detected; A first determination module for determining the signal power and noise power of the control channel element CCE corresponding to the candidate physical downlink control channel PDCCH according to the pilot signal of the CORESET and the received signal; A second determination module for determining the total signal-to-noise ratio of the candidate PDCCH and the target signal-to-noise ratio of the CCE according to the signal power and noise power of the CCE; And A third determination module for determining whether the candidate PDCCH contains a valid signal according to the total signal-to-noise ratio and the target signal-to-noise ratio.

10. A communication device, characterized in that, Includes: A processor and a memory communicatively connected to the processor; The memory stores computer execution instructions; the processor executes the computer execution instructions stored in the memory to implement the method according to any one of claims 1-8.

11. A computer-readable storage medium, characterized in that, Computer execution instructions are stored in the computer-readable storage medium, and when the computer execution instructions are executed by the processor, they are used to implement the method according to any one of claims 1-8.

12. A computer program product, characterized in that, Includes a computer program which, when executed by the processor, implements the method according to any one of claims 1-8.

13. A chip, characterized in that, The chip includes a processing circuit and an interface circuit; wherein, the interface circuit is used to read instructions, and the interface circuit sends the instructions to the processing circuit so that the processing circuit executes the method according to any one of claims 1-8.

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