Signal processing system, monitoring device and signal processing method

Abstract

The present disclosure relates to a signal processing system, a monitoring device and a signal processing method. The signal processing system comprises a receiving module, a storage module and a processing module. The receiving module is configured to receive a wireless signal. The wireless signal comprises authentication information and training information. The storage module is configured to store a smoothing parameter. The processing module is connected to the receiving module. The processing module performs (a) obtaining a corresponding smoothing parameter in the storage module according to the authentication information; (b) performing channel estimation to obtain first channel state information according to the training information; (c) performing smoothing processing on the first channel state information according to the smoothing parameter to obtain second channel state information; and (d) generating sensing information according to the second channel state information.

Description

Technical Field

[0001] This disclosure relates to a signal processing system, a monitoring device, and a signal processing method. Background Technology

[0002] Regarding health care and support for the elderly, there is now a positioning watch available for seniors to wear, which uses Wi-Fi signals to sense their home behavior.

[0003] Because Wi-Fi signals can easily penetrate walls, the multipath effect can cause the receiver to receive reflected signals from long distances. This results in the Sensing Measurement Report (SMR) containing too much channel information from non-target areas, making the measurement results overly sensitive. Without effective filtering, this increases the false detection rate (e.g., mistaking objects in neighboring rooms for targets). Currently, this filtering needs to be implemented in software at the application layer, wasting processor resources. Summary of the Invention

[0004] In some embodiments, this disclosure is a signal processing system, including a receiving module, a storage module, and a processing module. The receiving module is configured to receive wireless signals. The wireless signals include authentication information and training information. The storage module is configured to store smoothing parameters. The processing module is connected to the receiving module. The processing module performs the following: (a) obtaining the corresponding smoothing parameters from the storage module based on the authentication information; (b) performing channel estimation based on the training information to obtain first channel state information; (c) smoothing the first channel state information based on the smoothing parameters to obtain second channel state information; and (d) generating sensing information based on the second channel state information.

[0005] In some embodiments, the processing module includes a physical layer module and a media access control layer module. The physical layer module transmits wireless signals to the media access control layer module. The physical layer module is configured to perform steps (b), (c), and (d). The media access control layer module is configured to perform step (a).

[0006] In some embodiments, the processing module includes a smoothing filter module. When the entity layer module performs step (c), it controls the smoothing filter module to smooth the first channel state information according to the smoothing parameters to obtain the second channel state information.

[0007] In some embodiments, a transmitting module is further included, configured to receive command signals from the receiving module and transmit wireless signals according to the command signals. The command signals include authentication information.

[0008] In some embodiments, this disclosure is a monitoring device, including a transmitting module, a receiving module, a storage module, and a processing module. The transmitting module is configured to provide a device for human wear and transmit wireless signals. The wireless signals include authentication information and training information. The receiving module is configured to receive the wireless signals. The storage module is configured to store smoothing parameters. The processing module is connected to the receiving module. The processing module performs the following: (a) obtaining the corresponding smoothing parameters from the storage module based on the authentication information; (b) performing channel estimation based on the training information to obtain first channel state information; (c) smoothing the first channel state information based on the smoothing parameters to obtain second channel state information; (d) generating sensing information based on the second channel state information; and (e) analyzing the sensing information to obtain sensing results.

[0009] In some embodiments, the processing module includes a physical layer module, a media access control layer module, and an application layer module. The physical layer module transmits wireless signals to the media access control layer module. The physical layer module is configured to perform steps (b), (c), and (d). The media access control layer module is configured to perform step (a). The application layer module is configured to perform step (e).

[0010] In some embodiments, the application layer module adjusts the smoothing parameters and stores the adjusted smoothing parameters in the storage module.

[0011] In some embodiments, the processing module includes a physical layer module, a media access control layer module, and an application layer module. The physical layer module transmits wireless signals to the media access control layer module. The media access control layer module transmits wireless signals and execution instructions to the application layer. The application layer is configured to execute steps (a), (b), (c), (d), and (e).

[0012] In some embodiments, this disclosure is a signal processing method, including: receiving a wireless signal, the wireless signal including authentication information and training information; obtaining a corresponding smoothing parameter based on the authentication information; performing channel estimation based on the training information to obtain first channel state information; smoothing the first channel state information based on the smoothing parameter to obtain second channel state information; and generating sensing information based on the second channel state information.

[0013] According to some embodiments of this disclosure, by storing multiple smoothing parameters in the storage module, the processing module has clear smoothing guidance when smoothing wireless signals. This reduces multipath interference (e.g., long-distance reflections) in excessive non-target areas, thereby significantly improving the area specificity and reliability of the sensing. Attached Figure Description

[0014] Figure 1 This diagram illustrates the architecture of a signal processing system according to one embodiment of the present disclosure. Figure 2 This diagram illustrates a flowchart of a signal processing method according to one embodiment of the present disclosure; Figure 3 The diagram shows an architecture of a signal processing system according to one embodiment of the present disclosure. Detailed Implementation

[0015] Please see Figure 1 As shown, one embodiment of this disclosure proposes a signal processing system, including a receiving module 10, a storage module 20, and a processing module 30.

[0016] Please see Figure 1 As shown, the receiving module 10 is configured to receive wireless signals (step S01). The wireless signals include authentication information and training information. The training information includes a High-Efficiency Long Training Field (HE-LTF) or an Extremely High Throughput Long Training Field (EHT-LTF). In some embodiments, the wireless signal is a Wi-Fi signal. In some embodiments, the authentication information is a Sensing ID or related identification information. The Sensing ID is a string used to uniquely identify the sensing device or the sensing operation.

[0017] The receiving module 10 receives the wireless signal transmitted by the transmitting module 40. In some embodiments, the receiving module 10 establishes communication with the transmitting module 40 in an active mode. Therefore, the transmitting module 40 transmits a null data packet announcement (NDPA) during the negotiation phase to inform the receiving module 10 of the transmitter information and authentication information in advance. Then, the transmitting module 40 transmits a null data packet (NDP). The null data packet includes authentication information and training information.

[0018] In some embodiments, the receiving module 10 communicates with the transmitting module 40 in a passive mode. Therefore, the receiving module 10 first sends a control frame to the transmitting module 40. The control frame includes authentication information. After receiving the control frame, the transmitting module 40 generates an empty data packet and sends it to the receiving module 10 based on the authentication information within the control frame. In this embodiment, the receiving module 10 can identify the transmitting module 40 in advance, conforming to the definition of Sensing Measurement Parameters in the IEEE 802.11bf standard.

[0019] In some embodiments, the transmitting module 40 is a signal transmitting circuit (e.g., a signal transmitting chip) configured to transmit wireless signals. The receiving module 10 is a signal receiving circuit (e.g., a signal receiving chip) configured to receive wireless signals.

[0020] Please see Figure 1 As shown, storage module 20 is configured to store smoothing parameters. In some embodiments, storage module 20 stores multiple smoothing parameters, each corresponding to an authentication information. In some embodiments, storage module 20 can be a hardware component with read, write, and store functions, such as, but not limited to, non-volatile memory, flash memory, temporary registers, hard disks, etc. Smoothing parameters include filter width and smoothing range.

[0021] Please see Figure 1 and Figure 2 As shown, the processing module 30 is connected to the receiving module 10. In some embodiments, the processing module 30 may be a processing device such as a processor or a digital signal processor (DSP). The processing module 30 performs operations such as... Figure 2 The signal processing method shown.

[0022] like Figure 2 As shown, the processing module 30 receives a wireless signal from the receiving module 10 (step S01). Then, based on the authentication information within the wireless signal, it retrieves the corresponding smoothing parameters from the storage module 20 (step S02). The processing module 30 performs channel estimation on the training information to obtain first channel state information (step S03). In some embodiments, the processing module 30 performs channel estimation on the training information using the least squares method. The processing module 30 smooths the first channel state information according to the smoothing parameters to obtain second channel state information (step S04). The processing module 30 generates sensing information based on the second channel state information (step S05). In some embodiments, the sensing information is a Sensing Measurement Report (SMR), and the processing module 30 generates sensing information in a sensing report format by including the header and the second channel state information. In some embodiments, the processing module 30 determines whether to encrypt the sensing information according to a setting.

[0023] Based on the above Figure 1 and Figure 2 In this embodiment, by storing multiple smoothing parameters in the storage module 20, the processing module 30 has clear smoothing guidance when smoothing the wireless signal. Therefore, multipath interference from excessive non-target areas (such as long-distance reflections) can be reduced, thereby significantly improving the area specificity and reliability of the sensing.

[0024] In some embodiments, the processing module 30 includes a physical layer module 31 and a media access control layer module 32. The physical layer module 31 is connected to both the receiving module 10 and the media access control layer module 32. The physical layer module 31 transmits wireless signals to the media access control layer module 32. The media access control layer module 32 is configured to execute step S02. Therefore, in this embodiment, after the receiving module 10 receives the wireless signal, the media access control layer module 32 obtains authentication information based on the wireless signal. Then, it obtains the corresponding smoothing parameters from the storage module 20 based on the authentication information. The physical layer module 31 is configured to execute steps S03, S04, and S05. Therefore, in this embodiment, the physical layer module 31 performs channel estimation based on training information to obtain first channel state information, smooths the first channel state information based on the smoothing parameters to obtain second channel state information, and generates sensing information based on the second channel state information.

[0025] In some embodiments, after obtaining the smoothing parameters, the Media Access Control (MAC) layer module 32 transmits them to the Entity Layer module 31 via the MAC / PHY interface. Upon receiving the smoothing parameters, the Entity Layer module 31 first latches them. Only after the Entity Layer module 31 completes step S03 will it execute step S04 based on the smoothing parameters. This ensures precise timing to comply with the IEEE 802.11bf specification for the Entity Layer Service Interface (27.2 HE PHY Service Interface).

[0026] In some embodiments, the processing module 30 includes a smoothing filter module 33. When the entity layer module 31 executes step S04, it controls the smoothing filter module 33 to smooth the first channel state information according to smoothing parameters to obtain the second channel state information. In some embodiments, the smoothing filter module 33 is a smoothing filter circuit, or a functional module in the processor that performs smoothing filter calculations.

[0027] Please see Figure 3 and Figure 2As shown, in some embodiments, the signal processing systems of the aforementioned embodiments are applied in a monitoring device to realize various sensing applications, such as security monitoring and anti-theft, health care and support for the elderly, smart home and energy saving, gesture recognition and human-computer interaction. The monitoring device includes a transmitting module 40, a receiving module 10, a storage module 20, and a processing module 30. The transmitting module 40 is configured to be worn by the human body and transmit wireless signals. For the operation mode and specific embodiments of the transmitting module 40, receiving module 10, storage module 20, and processing module 30, please refer to the aforementioned signal processing system. The processing module 30 analyzes the sensing information to obtain the sensing result (step S06). In some embodiments, the monitoring device is used for health care and support for the elderly, and the sensing information includes the elderly's location indoors. Therefore, after analyzing the sensing information, the processing module 30 can sense the elderly's state indoors as the sensing result.

[0028] In some embodiments, the processing module 30 includes a physical layer module 31, a media access control layer module 32, and an application layer module 34. The physical layer module 31 is connected to the receiving module 10. The media access control layer module 32 is connected to both the physical layer module 31 and the application layer module 34. The physical layer module 31 transmits wireless signals to the media access control layer module 32. The media access control layer module 32 is configured to execute step S02. The physical layer module 31 is configured to execute steps S03 to S05. The application layer module 34 is configured to execute step S06. In this embodiment, steps S03 to S05 are executed by the physical layer module 31, thereby reducing the load on the application layer module 34.

[0029] In some embodiments, the application layer module 34 adjusts the smoothing parameters and stores the adjusted smoothing parameters in the storage module 20. In this way, the monitoring device can adjust the smoothing parameters according to the actual situation to improve monitoring results. In some embodiments, the application layer module 34 determines whether to adjust the smoothing parameters based on the True Positive Rate (TPR) or False Positive Rate (FPR) required by the application layer.

[0030] In some embodiments, the monitoring device utilizes the application layer module 34 to perform most of the steps. In this embodiment, after the receiving module 10 receives the wireless signal, the physical layer module 31 transmits the wireless signal to the media access control layer module 32. The media access control layer module 32 transmits the wireless signal and execution instructions to the application layer module 34. The application layer module 34 is configured to execute steps S02 to S06.

[0031] Based on the sensing results obtained from steps S01 to S06 above, the monitoring device can realize various sensing applications, such as security monitoring and anti-theft, health care and elderly care, smart home and energy saving, gesture recognition and human-computer interaction.

[0032] [Symbol Explanation]

[0033] 10: Receiver Module

[0034] 20: Storage Module

[0035] 30: Processing Module

[0036] 31: Entity Layer Module

[0037] 32: Media Access Control Layer Module

[0038] 33: Smoothing Filtering Module

[0039] 34: Application Layer Module

[0040] 40: Sending Module

[0041] S01 to S06: Steps.

Claims

1. A signal processing system, comprising: A receiving module is configured to receive a wireless signal, the wireless signal including authentication information and training information; A storage module configured to store a smoothing parameter; and A processing module is connected to the receiving module, and the processing module performs the following: Step (a) Obtain the corresponding smoothing parameter from the storage module based on the authentication information; Step (b) involves performing channel estimation based on the training information to obtain a first channel state information; Step (c) smooths the first channel state information according to the smoothing parameter to obtain a second channel state information; and Step (d) generates sensing information based on the second channel status information.

2. The signal processing system according to claim 1, wherein, The processing module includes a physical layer module and a media access control layer module; the physical layer module transmits the wireless signal to the media access control layer module, and the physical layer module is configured to execute steps (b), (c), and (d); the media access control layer module is configured to execute step (a).

3. The signal processing system according to claim 2, wherein, The processing module includes a smoothing and filtering module. When the entity layer module executes step (c), it controls the smoothing and filtering module to smooth the first channel state information according to the smoothing parameter to obtain the second channel state information.

4. A monitoring device, comprising: A transmitting module is configured to provide a wearable device and transmit a wireless signal, the wireless signal including authentication information and training information; A receiving module, configured to receive the wireless signal; A storage module configured to store a smoothing parameter; and A processing module is connected to the receiving module, and the processing module performs the following: Step (a) Obtain the corresponding smoothing parameter from the storage module based on the authentication information; Step (b) involves performing channel estimation based on the training information to obtain a first channel state information; Step (c) Smooths the first channel state information according to the smoothing parameter to obtain a second channel state information; Step (d) generates sensing information based on the second channel status information; and Step (e) analyzes the sensing information to obtain a sensing result.

5. The monitoring device according to claim 4, wherein, The processing module includes a physical layer module, a media access control layer module, and an application layer module; the physical layer module transmits the wireless signal to the media access control layer module; the physical layer module is configured to execute steps (b), (c), and (d); the media access control layer module is configured to execute step (a); and the application layer module is configured to execute step (e).

6. The monitoring device according to claim 5, wherein, The processing module includes a smoothing and filtering module. When the entity layer module executes step (c), it controls the smoothing and filtering module to smooth the first channel state information according to the smoothing parameter to obtain the second channel state information.

7. The monitoring device according to claim 4, wherein, The processing module includes a physical layer module, a media access control layer module, and an application layer module; the physical layer module transmits the wireless signal to the media access control layer module; the media access control layer module transmits the wireless signal and an execution command to the application layer module, and the application layer module is configured to execute steps (a), (b), (c), (d), and (e).

8. A signal processing method, comprising: Receive a wireless signal, which includes authentication information and training information; Obtain a corresponding smoothing parameter based on the authentication information; Based on the training information, channel estimation is performed to obtain a first channel state information; The first channel state information is smoothed according to the smoothing parameter to obtain a second channel state information. and A sensing information is generated based on the status information of the second channel.

9. The signal processing method according to claim 8, wherein, Adjust the smoothing parameter and save the adjusted smoothing parameter.

10. The signal processing method according to claim 8, wherein, A sensing result is obtained by analyzing the sensing information.

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