A method and device based on OFDM signal compression sensing and antenna gain

Abstract

The application discloses a kind of based on OFDM signal compression sensing and antenna gain method and device, belong to wireless compression sensing technical technical field, including detecting and sending signal data, signal data is detected and sent by DAC and ADC deployed by OFDM transmitter end;Receive signal data, signal data is received by OFDM receiver end, when OFDM receiver end receives signal data, for multi-user signal access, build OFDM dynamic spectrum management system;Wherein, after OFDM transmitter end sends signal data, and before OFDM receiver end receives signal data, the signal data is carried out secondary difference processing using quadratic curve fitting algorithm and the measured antenna gain under the preset bandwidth amplitude is calculated.

Description

Technical Field

[0001] This invention belongs to the field of wireless compressed sensing technology, specifically relating to a method and apparatus based on OFDM signal compressed sensing and antenna gain. Background Technology

[0002] Orthogonal Frequency-Division Multiplexing (OFDM) is a technique for simultaneously transmitting multiple digital signals on many orthogonal subcarriers. Signal generation and detection are based on Fast Fourier Transform (FFT), allowing data transmission to be implemented on many subcarriers (spaced at precise frequency intervals). Because the frequencies are orthogonal, the spacing between subcarriers can be reduced, resulting in higher spectral efficiency. OFDM transmission effectively resists interference and multipath distortion, which in practice cause inter-symbol interference (IS). While centralized control at the OFDM transmitter and receiver monitors and controls the transmitted spectrum of all users in the system, providing better channel performance, it also introduces a significant control signaling load. Furthermore, distributed control suffers from the drawback of convergence of the receiver's noise spectrum and received signal spectrum to a secondary advantage. Summary of the Invention

[0003] The purpose of this invention is to provide a method and apparatus based on OFDM signal compression sensing and antenna gain, which overcomes the shortcomings of the convergence of the receiver noise spectrum and the received signal spectrum to the secondary advantage, and makes the convergence result closer to the optimal one.

[0004] To solve the above-mentioned technical problems, the present invention is implemented as follows:

[0005] In a first aspect, embodiments of the present invention provide a method based on OFDM signal compressed sensing and antenna gain, comprising:

[0006] The signal data is detected and transmitted by the OFDM transmitter through deployed digital-to-analog converters (DACs) and analog-to-digital converters (ADCs).

[0007] The signal data is received by the OFDM receiver. When the OFDM receiver receives the signal data, it constructs a dynamic spectrum management system for OFDM for multi-user signal access.

[0008] Specifically, after the signal data is transmitted at the OFDM transmitter and before the signal data is received at the OFDM receiver, the signal data is subjected to secondary interpolation processing using a quadratic interpolation algorithm, and the gain of the antenna under test under a preset bandwidth amplitude is calculated.

[0009] Furthermore, the dynamic spectrum management system includes a centralized control module, which is used to monitor and control the transmission spectrum of all users in the dynamic spectrum management system.

[0010] Furthermore, the dynamic spectrum management system also includes a distributed control module, which enables the user to perceive channel conditions and adjust the spectrum accordingly.

[0011] Furthermore, the centralized control module includes a first layer, which is used to report the user's data rate and transmission power to the central controller, and the central controller generates corresponding control signals to control the data rate and transmission power.

[0012] Furthermore, the centralized control module includes a second layer, which is used to monitor the noise spectrum and the received signal spectrum, and the central controller controls the transmission power.

[0013] Furthermore, the centralized control module also includes a third layer, which is used to allow real-time control of the transmit power to fully coordinate and monitor the frequency harmonics of the received signal and the noise.

[0014] Furthermore, the calculation of the antenna gain under the preset bandwidth amplitude includes calculating the antenna gain under the transmitter bandwidth values ​​of 3dB and 10dB.

[0015] Furthermore, the quadratic interpolation algorithm is used to perform quadratic interpolation processing on the signal data. This includes using the signal data near the 3dB and 10dB points at the OFDM receiver end, and then using the midpoints of the two signal data points to construct a quadratic curve. The formula for the quadratic curve is y = ax 2 +bx+c; where a=n; b=mn·(x i +x i+1 ); c = n·x i ·x i+1 -m·x i +y i x represents the current value of the category object; y represents the three adjacent points of the category object; i represents the sequence number of the category object;

[0016] The secondary interpolation process includes interpolating the data sampled unevenly at different nodes by using a secondary interpolation method, interpolating every 3 adjacent points to obtain a secondary interpolation value.

[0017] Furthermore, the OFDM transmitter and the OFDM receiver front-end devices improve spectral efficiency and enhance signal strength through beamforming technology of multi-antenna systems, MIMO multiple-input multiple-output technology, and space-time coding.

[0018] In a second aspect, embodiments of the present invention provide an apparatus based on OFDM signal compression sensing and antenna gain, applied to the method described in the first aspect, comprising:

[0019] The OFDM transmitter detects and transmits signal data through deployed DACs and ADCs.

[0020] The OFDM receiver receives the signal data, and when receiving the signal data, the OFDM receiver constructs a dynamic spectrum management system for OFDM for multi-user signal access.

[0021] Specifically, after the signal data is transmitted at the OFDM transmitter and before the signal data is received at the OFDM receiver, the signal data is subjected to secondary interpolation processing using a quadratic interpolation algorithm, and the gain of the antenna under test under a preset bandwidth amplitude is calculated.

[0022] In this embodiment of the invention, signal data is detected and transmitted by the OFDM transmitter through deployed DACs and ADCs; signal data is received by the OFDM receiver, which constructs a dynamic spectrum management system for OFDM for multi-user signal access when receiving the signal data; after the OFDM transmitter transmits the signal data and before the OFDM receiver receives the signal data, a quadratic interpolation algorithm is used to perform quadratic interpolation processing on the signal data and to calculate the gain of the antenna under test under a preset bandwidth amplitude; in this application, the quadratic interpolation algorithm is used to perform quadratic interpolation processing on the signal data from the transmitter to the receiver, compressing a large amount of repetitive data, which can reduce resource consumption. At the same time, calculating the gain of the antenna under test under a preset bandwidth value can compensate for the shortcomings of the receiver noise spectrum and the received signal spectrum converging to the secondary advantage, making the convergence result closer to the optimal value. Attached Figure Description

[0023] Figure 1 This is a flowchart illustrating a method for OFDM signal compression sensing and antenna gain provided in an embodiment of the present invention.

[0024] Figure 2 This is a schematic diagram of an OFDM transmitter based on an OFDM signal compression sensing and antenna gain method provided in an embodiment of the present invention;

[0025] Figure 3This is a schematic diagram of an OFDM receiver based on an OFDM signal compression sensing and antenna gain method provided in an embodiment of the present invention.

[0026] The realization of the objective, functional characteristics and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0028] The following detailed description, in conjunction with the accompanying drawings, of a method for OFDM signal compression sensing and antenna gain based on specific embodiments and application scenarios, illustrates in detail the present invention.

[0029] Reference Figure 1 The diagram shows a flowchart of an OFDM signal compression sensing and antenna gain method provided by an embodiment of the present invention.

[0030] Reference Figure 2 The diagram shows a schematic of an OFDM transmitter based on an OFDM signal compression sensing and antenna gain method provided in an embodiment of the present invention.

[0031] Reference Figure 3 The diagram shows a schematic of an OFDM receiver based on an OFDM signal compression sensing and antenna gain method provided in an embodiment of the present invention.

[0032] This invention provides a method for OFDM signal compressed sensing and antenna gain, comprising:

[0033] S101: Detect and transmit signal data, which is detected and transmitted by the OFDM transmitter through deployed digital-to-analog converters (DACs) and analog-to-digital converters (ADCs);

[0034] S102: Receive the signal data, which is received by the OFDM receiver. When the OFDM receiver receives the signal data, it constructs a dynamic spectrum management system for OFDM for multi-user signal access.

[0035] The signal data can be wireless signal data, and further, the wireless data signal can be a binary digital serial data stream that needs to be transmitted.

[0036] like Figure 1 As shown, s[n] is the binary digital serial data stream to be transmitted. After serial-to-parallel conversion, the data stream is divided into N data streams. Each data stream is encoded as X0, ..., Xn according to the corresponding sub-channel conditions and the possible modulation method. N-1 Given a set of complex time-domain samples, perform inverse Fast Fourier Transform (FFT) calculations on each set of symbols.

[0037] Optionally, the modulation method can be phase shift keying (PSK) or quadrature amplitude modulation (QAM), and the present invention does not impose specific limitations on it.

[0038] Furthermore, after completing the inverse FFT, the frequency band is formed by orthogonal composite as follows: the real and imaginary parts are first converted to the analog domain using digital-to-analog converters (DACs). The resulting analog signals are used to modulate cosine and sine waves at the carrier frequency f, respectively. The signals are summed to obtain the final transmitted signal s(t). The signal r(t) received by the receiver is the result of s(n) after passing through the electromagnetic wave channel and noise contamination. r(t) is orthogonally composited with cosine and sine waves at the carrier frequency to form a baseband signal. The obtained baseband signal is sampled and digitized using analog-to-digital converters (ADCs). At the same time, a forward FFT is used to convert the time-domain signal back to the frequency domain. Each stream in the returned N parallel data streams is converted to a bit stream using a suitable symbol detector. The bit streams are then reassembled into a serial data stream [n], which is an estimate of the original bit stream sent by the transmitter.

[0039] The mathematical description of the low-pass equivalent OFDM signal is as follows:

[0040]

[0041] Where X represents the data modulation symbol in the k-th data stream, and T is the OFDM symbol time length. To avoid inter-symbol crosstalk in multipath fading channels, a symbol of length T is inserted between OFDM blocks. g The protection interval, in this one T g Cyclic prefix AND (TT) transmitted within an interval ≤ t < 0 xSignals within intervals t ≤ t < T are identical. Cyclic prefixes are often used in conjunction with modulation techniques to preserve the sinusoidal characteristics in multipath channels. Sinusoidal signals are characteristic functions of linear, time-varying systems; therefore, if the signal is assumed to be linearly time-varying, a finite-length sine wave would become the characteristic function. However, this is impossible in practice because real-world signals are often time-constrained. To mimic the characteristics of infinite length, using the end of a symbol as a prefix makes the linear convolution of the channel resemble a cyclic convolution, thus preserving the characteristics of this signal well after using a cyclic prefix.

[0042] Optionally, when the OFDM receiver receives the transmitted signal, it constructs a dynamic spectrum management system for OFDM for multi-user signal access.

[0043] Furthermore, the dynamic spectrum management system includes a centralized control module, which is used to monitor and control the transmission spectrum of all users in the dynamic spectrum management system.

[0044] The centralized control module refers to the Spectral Management Center (SMC) monitoring and controlling the transmission spectrum of all users in the system. There is a lot of coordination and communication between users and the SMC, which enables users to be aware of channel conditions and adjust their transmission spectrum accordingly. This will increase the load of control signaling, but it can enable users to obtain better channel performance.

[0045] Optionally, the centralized control module can be further classified as follows:

[0046] The centralized control module includes a first layer, which is used to report the user's data rate and transmission power to the central controller, and the central controller generates corresponding control signals to control the data rate and transmission power.

[0047] The centralized control module may include a second layer for monitoring the noise spectrum and the received signal spectrum, and the central controller controls the transmission power.

[0048] The centralized control module may also include a third layer, which allows for real-time control of the transmit power to fully coordinate and monitor the frequency harmonics of the received signal and the noise.

[0049] Optionally, the dynamic spectrum management system further includes a distributed control module, which enables the user to perceive channel conditions and adjust the spectrum accordingly to achieve efficient coordination.

[0050] Furthermore, to address the drawbacks of centralized control modules increasing the load on control signaling and distributed control modules potentially converging to a secondary advantage, a quadratic difference algorithm is employed to process the signal data.

[0051] Optionally, after the signal data is transmitted at the OFDM transmitter and before the signal data is received at the OFDM receiver, the signal data is subjected to secondary interpolation processing using a quadratic interpolation algorithm, and the gain of the antenna under test under a preset bandwidth amplitude is calculated.

[0052] The signal data selected by the quadratic interpolation algorithm can be 3dB points, 10dB points, or other signal data points. Those skilled in the art can adjust the specific values ​​of the selected signal data points according to the actual situation. This embodiment of the invention does not limit this.

[0053] Furthermore, the gain of the antenna under test under the preset bandwidth amplitude can be calculated by using 3dB and 10dB bandwidth values. Those skilled in the art can adjust the specific value of the selected bandwidth value according to the actual situation, and the embodiments of the present invention do not limit this.

[0054] In one possible embodiment, the signal data is processed using a quadratic interpolation algorithm. This involves using the signal data near the 3dB and 10dB points at the OFDM receiver end (to the right of the wireless signal data curve), and then constructing a parabolic function using the midpoint of these two signal data points. Let the equation of this parabola be y = ax 2 +bx+c; where x represents the current value of the category object; y represents the three adjacent points of the category object; and i represents the sequence number of the category object.

[0055] Substituting the above three points, we can obtain:

[0056] Where a = n; b = mn·(x i +x i+1 c = n·x i ·x i+1 -m·x i +y i ;

[0057] The second-order interpolation process involves interpolating data that is sampled unevenly at different nodes. The second-order interpolation method is used to interpolate every three adjacent points to obtain the second-order interpolation.

[0058] In this embodiment of the invention, a quadratic difference algorithm is used to perform quadratic difference processing on the signal data from the transmitter to the receiver. This method has uniform intervals, can compress a large amount of repetitive data, reduce training resource consumption, and can also restore missing data in the scene more realistically.

[0059] Furthermore, calculating the gain of the antenna under test under the preset bandwidth amplitude includes calculating the gain of the antenna under test under the 3dB and 10dB bandwidth values ​​at the transmitting end.

[0060] Specifically, this involves using the signal data near the 3dB and 10dB points at the OFDM transmitter end (to the left of the wireless signal data curve), and then using the points near the midpoint of the two signal data points to construct a parabolic function. The construction method of this parabolic function is the same as that of the parabolic function described above, and will not be repeated here.

[0061] By summing the absolute values ​​of the solutions obtained at the transmitter and receiver, the 3dB and 10dB bandwidth values ​​can be obtained, and the gain of the antenna under test can be calculated using the 3dB and 10dB bandwidth values.

[0062] In this embodiment of the invention, the gain of the antenna under test is calculated using 3dB and 10dB bandwidth values. By adjusting the antenna gain between the transmitting end and the receiving end's front satellite, the shortcomings of the receiving end's noise spectrum and received signal spectrum converging to the secondary advantage are compensated, making the convergence result closer to the optimal value.

[0063] The OFDM transmitter and receiver front-end devices improve spectral efficiency and enhance signal strength through beamforming technology of multi-antenna systems, MIMO (Multiple-Input Multiple-Output) technology, and space-time coding.

[0064] Beamforming is a signal technology used for directional data transmission and reception. By using beamforming, the signal received / transmitted in a specific direction can be improved in terms of receive / transmit gain.

[0065] To enhance wireless transmission performance, multiple-input multiple-output (MIMO) or multiple antennas are used for transmitting and receiving radio signals. Data transmitted by multiple antennas experiences different multipath fading, and the receiver also uses multiple antennas to receive these different multipath signals. By using advanced signal processing techniques, the receiver can reconstruct the original signal by combining the received multipath signals. MIMO systems utilize spatial diversity to achieve higher data rates or lower bit error rates. There are two basic types of MIMO systems: space-time coded MIMO systems (for diversity maximization) and spatial diversity MIMO systems (for data rate maximization). In this embodiment, a space-time coded MIMO system is used. With a properly designed transmit signal, a data stream is redundantly transmitted by multiple antennas. The receiver receives multiple copies of the transmitted signal, allowing for the reconstruction of the original data.

[0066] In this embodiment, the OFDM transmitter and receiver front-end devices employ beamforming technology and MIMO technology with a multi-antenna system to achieve higher spectral efficiency and signal enhancement. Through MIMO technology, the transmitter adjusts the transmission and reception parameters based on user location information, ensuring optimal path gain for each user in the corresponding direction. The receiver-side MIMO system utilizes spatial diversity to achieve higher data rates or lower bit error rates.

[0067] In this embodiment of the invention, signal data is detected and transmitted by the OFDM transmitter through deployed DACs and ADCs; signal data is received by the OFDM receiver, which constructs a dynamic spectrum management system for OFDM for multi-user signal access when receiving the signal data; after the OFDM transmitter transmits the signal data and before the OFDM receiver receives the signal data, a quadratic interpolation algorithm is used to perform quadratic interpolation processing on the signal data and to calculate the gain of the antenna under test under a preset bandwidth amplitude; in this application, the quadratic interpolation algorithm is used to perform quadratic interpolation processing on the signal data from the transmitter to the receiver, compressing a large amount of repetitive data, which can reduce resource consumption. At the same time, calculating the gain of the antenna under test under a preset bandwidth value can compensate for the shortcomings of the receiver noise spectrum and the received signal spectrum converging to the secondary advantage, making the convergence result closer to the optimal value.

[0068] Secondly, embodiments of the present invention provide an apparatus based on OFDM signal compression sensing and antenna gain, the apparatus comprising:

[0069] The OFDM transmitter detects and transmits signal data through deployed DACs and ADCs.

[0070] The OFDM receiver receives the signal data, and when receiving the signal data, the OFDM receiver constructs a dynamic spectrum management system for OFDM for multi-user signal access.

[0071] Specifically, after the signal data is transmitted at the OFDM transmitter and before the signal data is received at the OFDM receiver, the signal data is subjected to secondary interpolation processing using a quadratic interpolation algorithm, and the gain of the antenna under test under a preset bandwidth amplitude is calculated.

[0072] In practical applications, the device provided in this application can realize the method of OFDM signal compression sensing and antenna gain as described above. The specific implementation method is the same as the aforementioned method implementation method, and will not be repeated here.

[0073] The above are merely embodiments of the present invention and are not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of the present invention should be included within the scope of the claims of the present invention.

Claims

1. A method based on OFDM signal compressed sensing and antenna gain, characterized in that, include: The signal data is detected and transmitted by the OFDM transmitter through deployed digital-to-analog converters (DACs) and analog-to-digital converters (ADCs). The signal data is received by the OFDM receiver. When the OFDM receiver receives the signal data, it constructs a dynamic spectrum management system for OFDM for multi-user signal access. Specifically, after the signal data is transmitted at the OFDM transmitter and before the signal data is received at the OFDM receiver, the signal data is subjected to secondary interpolation processing using a secondary interpolation algorithm, and the gain of the antenna under test under a preset bandwidth amplitude is calculated. The dynamic spectrum management system includes a centralized control module, which is used to monitor and control the transmission spectrum of all users in the dynamic spectrum management system. The dynamic spectrum management system also includes a distributed control module, which enables the user to perceive channel conditions and adjust the spectrum accordingly.

2. The method according to claim 1, characterized in that, The centralized control module includes a first layer, which is used to report the user's data rate and transmission power to the central controller. The central controller generates corresponding control signals to control the data rate and transmission power.

3. The method according to claim 2, characterized in that, The centralized control module includes a second layer, which is used to monitor the noise spectrum and the received signal spectrum, and the central controller controls the transmission power.

4. The method according to claim 3, characterized in that, The centralized control module also includes a third layer, which allows for real-time control of the transmit power to fully coordinate and monitor the frequency harmonics of the received signal and the noise.

5. The method according to claim 1, characterized in that, The calculation of the antenna gain under the preset bandwidth amplitude includes calculating the antenna gain under the transmitter bandwidth values ​​of 3dB and 10dB.

6. The method according to claim 1, characterized in that, The method of performing secondary interpolation on the signal data using a quadratic interpolation algorithm includes using the signal data near the 3dB and 10dB points at the OFDM receiver end, and then using the midpoint near the two points of the signal data to construct a quadratic curve.

7. The method according to claim 1, characterized in that, The OFDM transmitter and receiver front-end devices improve spectral efficiency and enhance signal strength through beamforming technology of multi-antenna systems, MIMO (Multiple-Input Multiple-Output) technology, and space-time coding.

8. A device based on OFDM signal compression sensing and antenna gain, applied to the method described in any one of claims 1-7, characterized in that, include: The OFDM transmitter detects and transmits signal data through deployed DACs and ADCs; The OFDM receiver receives the signal data, and when receiving the signal data, the OFDM receiver constructs a dynamic spectrum management system for OFDM for multi-user signal access. Specifically, after the signal data is transmitted at the OFDM transmitter and before the signal data is received at the OFDM receiver, the signal data is subjected to secondary interpolation processing using a secondary interpolation algorithm.

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