CN-122001734-A - Frequency band detection method of OFDM communication system and related equipment

CN122001734ACN 122001734 ACN122001734 ACN 122001734ACN-122001734-A

Abstract

The application provides a frequency band detection method of an OFDM communication system and related equipment. The method comprises the steps of executing sliding discrete Fourier transform on a received signal sampling sequence to obtain sliding discrete Fourier transform output corresponding to subcarrier indexes, constructing a frequency band energy sequence of each candidate frequency band based on the sliding discrete Fourier transform output, defining an adaptive threshold of each candidate frequency band based on noise statistics parameters of each candidate frequency band in a preset noise interval, constructing a detection window based on an acquired window starting position, calculating detection statistics of each candidate frequency band in the detection window and confidence corresponding to the detection statistics based on the frequency band energy sequence of each candidate frequency band, and judging each candidate frequency band as an effective communication frequency band if the detection statistics are larger than the adaptive threshold and the confidence is larger than the preset confidence. The application can give consideration to low time delay, low power consumption and accuracy of communication frequency band detection in the OFDM communication system.

Inventors

HUANG MEIYING
WU YIWEN
SUN YINJIE
CHEN FEIFEI
LOU HONGWEI

Assignees

深圳智微电子科技股份有限公司

Dates

Publication Date: 20260508
Application Date: 20260228

Claims (10)

1. A method for detecting a frequency band of an OFDM communication system, the method comprising: acquiring a received signal sampling sequence, and performing sliding discrete Fourier transform on the signal sampling sequence to obtain sliding discrete Fourier transform output corresponding to each subcarrier index in a subcarrier set corresponding to each candidate frequency band; constructing a frequency band energy sequence of each candidate frequency band based on the sliding discrete Fourier transform output; Counting noise statistical parameters of each candidate frequency band in a preset noise interval, and defining an adaptive threshold of each candidate frequency band based on the noise statistical parameters; acquiring a window starting position, and constructing a detection window based on the window starting position; Calculating detection statistics of each candidate frequency band in the detection window and the corresponding confidence coefficient based on the frequency band energy sequence of each candidate frequency band; and if the detection statistic is greater than the self-adaptive threshold and the confidence coefficient is greater than a preset confidence coefficient, judging each candidate frequency band as an effective communication frequency band, wherein the effective communication frequency band is used for OFDM communication system communication.
2. The method according to claim 1, wherein the method further comprises: if the detection statistic is smaller than or equal to the self-adaptive threshold value or the confidence coefficient is smaller than or equal to the preset confidence coefficient, constructing a high-gain detection window based on the window starting position; Calculating high-gain detection statistics of each candidate frequency band in the high-gain detection window based on the frequency band energy sequence of each candidate frequency band; and if the high-gain detection statistic is larger than the self-adaptive threshold, determining each candidate frequency band as an effective communication frequency band.
3. The method of claim 2, wherein the obtaining the window start position comprises: When the frame starting position is unknown, determining the total energy sequence of all candidate frequency bands based on the frequency band energy sequence of each candidate frequency band, executing window energy synchronization on the total energy sequence, and determining the window starting position for maximizing the window energy; When the frame start position is known, the known frame start position is determined as the window start position.
4. The method according to claim 2, wherein the method further comprises: and if the high-gain detection statistic is smaller than or equal to the adaptive threshold, returning to the step of acquiring the received signal sampling sequence.
5. The method of any of claims 1 to 4, wherein said performing a sliding discrete fourier transform on said sequence of signal samples comprises: performing a sliding discrete fourier transform on the sequence of signal samples by the following equation (1): (1) Wherein, the Represent the first Sliding discrete Fourier transform output corresponding to the sub-carriers; representing a sequence of signal samples; representing a sliding window length; representing imaginary units; Represent the first The discrete angular frequencies to which the sub-carriers correspond, ; Or performing a sliding discrete fourier transform on the sequence of signal samples by the following equation (2): (2) Wherein, the Represent the first Sliding discrete Fourier transform output corresponding to the sub-carriers; representing imaginary units; Represent the first The discrete angular frequencies to which the sub-carriers correspond, ; The radius factor is represented by a value of, Empirical value ; , A sequence of signal samples is represented and, Representing the sliding window length.
6. The method of any of claims 1 to 4, wherein constructing a bin energy sequence for each candidate bin based on the sliding discrete fourier transform output comprises: the frequency band energy sequence of each candidate frequency band is constructed by the following formula (3): (3) Wherein, the Representing candidate frequency bands Frequency band energy sequences of (a); Representing a subcarrier set corresponding to the candidate frequency band b; Represent the first And outputting sliding discrete Fourier transform corresponding to the sub-carriers.
7. The method of any of claims 1 to 4, wherein the calculating the detection statistic for each candidate frequency band within the detection window based on the frequency band energy sequence for the candidate frequency band comprises: Calculating the detection statistic of each candidate frequency band in the detection window by the following formula (4): (4) Wherein, the Representing candidate frequency bands In the detection window Detection statistics within; Representing a detection window; Representing candidate frequency bands Is a frequency band energy sequence of (a).
8. A frequency band detection apparatus for an OFDM communication system, the apparatus comprising: the first acquisition unit is used for acquiring a received signal sampling sequence, and performing sliding discrete Fourier transform on the signal sampling sequence to obtain sliding discrete Fourier transform output corresponding to each subcarrier index in the subcarrier set corresponding to each candidate frequency band; A construction unit, configured to construct a frequency band energy sequence of each candidate frequency band based on the sliding discrete fourier transform output; The statistics unit is used for counting noise statistics parameters of each candidate frequency band in a preset noise interval and defining an adaptive threshold value of each candidate frequency band based on the noise statistics parameters; The second acquisition unit is used for acquiring a window starting position and constructing a detection window based on the window starting position; the computing unit is used for computing the detection statistic of each candidate frequency band in the detection window and the corresponding confidence coefficient based on the frequency band energy sequence of each candidate frequency band; And the judging unit is used for judging each candidate frequency band as an effective communication frequency band if the detection statistic is larger than the self-adaptive threshold value and the confidence coefficient is larger than the preset confidence coefficient, wherein the effective communication frequency band is used for OFDM communication system communication.
9. A computer readable storage medium having stored therein at least one program code loaded and executed by a processor to implement operations performed by the method of any of claims 1 to 7.
10. An electronic device comprising one or more processors and one or more memories, the one or more memories having stored therein at least one piece of program code that is loaded and executed by the one or more processors to implement the method of any of claims 1-7.

Description

Frequency band detection method of OFDM communication system and related equipment Technical Field The present application relates to the field of communications technologies, and in particular, to a frequency band detection method and related devices for an OFDM communications system. Background In an OFDM communication system, the performance of a conventional single-band communication mode is close to the improvement limit, and it is difficult to meet the development requirements of various communication scenarios. Therefore, the multiband communication technology becomes a breakthrough of the existing bottleneck. In order to realize the multi-band communication function, the prior art generally divides a plurality of communication bands which are not overlapped with each other in a physical layer, and configures a dedicated preamble sequence for each band to complete frame synchronization and band identification. Based on this, how to detect the communication frequency band in the transmission state in the communication process of the OFDM communication system under the requirements of low delay, low power consumption and accuracy, so as to complete the synchronization processing of the corresponding frame is a technical problem to be solved. Disclosure of Invention The embodiment of the application provides a frequency band detection method, a computer program product or a computer program, a computer readable storage medium and electronic equipment of an OFDM communication system, and further can give consideration to low time delay, low power consumption and accuracy of communication frequency band detection of the OFDM communication system at least to a certain extent. Other features and advantages of the application will be apparent from the following detailed description, or may be learned by the practice of the application. According to one aspect of the embodiment of the application, a frequency band detection method of an OFDM communication system is provided, and the method comprises the steps of obtaining a received signal sampling sequence, executing sliding discrete Fourier transform on the signal sampling sequence to obtain sliding discrete Fourier transform output corresponding to subcarrier indexes in subcarrier sets corresponding to each candidate frequency band, constructing a frequency band energy sequence of each candidate frequency band based on the sliding discrete Fourier transform output, counting noise statistic parameters of each candidate frequency band in a preset noise interval, defining an adaptive threshold of each candidate frequency band based on the noise statistic parameters, obtaining a window starting position, constructing a detection window based on the window starting position, calculating detection statistics of each candidate frequency band in the detection window and corresponding confidence of the detection statistics based on the frequency band energy sequence of each candidate frequency band, and judging each candidate frequency band as an effective communication frequency band if the detection statistics are larger than the adaptive threshold and the confidence is larger than the preset confidence, wherein the effective communication frequency band is used for communication of the OFDM communication system. In some embodiments of the present application, based on the foregoing scheme, the method further includes constructing a high-gain detection window based on the window start position if the detection statistic is less than or equal to the adaptive threshold or the confidence level is less than or equal to the preset confidence level, calculating a high-gain detection statistic of each candidate frequency band within the high-gain detection window based on a frequency band energy sequence of each candidate frequency band, and determining each candidate frequency band as an effective communication frequency band if the high-gain detection statistic is greater than the adaptive threshold. In some embodiments of the present application, the acquiring the window start position includes determining a total energy sequence of all candidate frequency bands based on a frequency band energy sequence of each candidate frequency band when the frame start position is unknown, performing window energy synchronization on the total energy sequence, and determining a window start position for maximizing window energy, and determining a known frame start position as the window start position when the frame start position is known. In some embodiments of the application, based on the foregoing, the method further comprises returning to the step of performing the acquiring the received signal sample sequence if the high gain detection statistic is less than or equal to the adaptive threshold. In some embodiments of the application, based on the foregoing, the performing a sliding discrete Fourier transform on the sequence of signal samples comprises performing a sliding di