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DMWC spectrum sensing phase calibration method based on DOA estimation

A technology of spectrum sensing and calibration method, which is applied in the intersection of array signal processing and spectrum sensing, and can solve problems such as the influence of recovery rate and the reduction of system stability.

Inactive Publication Date: 2019-09-17
SICHUAN UNIV
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Problems solved by technology

If the signals of each node of the perception system are not synchronized, this not only reduces the stability of the system, but also has a certain impact on the recovery rate

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  • DMWC spectrum sensing phase calibration method based on DOA estimation
  • DMWC spectrum sensing phase calibration method based on DOA estimation
  • DMWC spectrum sensing phase calibration method based on DOA estimation

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Embodiment Construction

[0015] figure 1 It is a flow chart of the fast recovery method of the support set based on MWC, and the specific implementation steps of the present invention are as follows, which are described below in conjunction with the accompanying drawings.

[0016] step one: figure 2 is the block diagram of DMWC based on DOA estimation, which is composed of uniform linear array (ULA), and the distance between each adjacent sensor is d( , c is the speed of light). All sensors are in consistent sampling mode to realize the function of MWC single channel. Multiplying the original sampling signal x(t) by a period is The function p(t) (the only requirement for p(t) is that its Fourier series coefficients are not zero within the Nyquist bandwidth of the signal) performs pseudo-random sequence mixing to spread the spectral information in the frequency band to the entire frequency band, using a cutoff frequency of Filtered by the filter, and with The sampling speed is sampled to obt...

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Abstract

The invention provides a DMWC spectrum sensing phase difference calibration method based on DOA estimation, aiming at the problem that the recovery rate is low due to the fact that each sensing node of the DMWC spectrum sensing system randomly generates phase difference due to spatial distribution. The DMWC spectrum sensing phase difference calibration method comprises the following steps: (1) acquiring a sampling signal from a DMWC spectrum sensing system structure in which single nodes are arranged into a uniform linear array; (2) obtaining the direction of arrival of the signals through DOA estimation, finding the azimuth parameter with the maximum correlation coefficient as the direction of arrival by applying an array signal processing TLS-ESPRIT algorithm combined with a total least square method, and further obtaining the phase difference of the signals received by the nodes; and (3) calibrating the measurement matrix by using the direction of arrival and the phase difference. Through the DMWC spectrum sensing phase difference calibration method, the influence of the phase difference between the nodes on the signal recovery rate in the DMWC spectrum sensing system is solved, and the noise resistance and the stability of the DMWC spectrum sensing system are greatly improved.

Description

technical field [0001] The invention belongs to the technical field of intersecting array signal processing and spectrum sensing, and specifically, uses a DOA estimation method to perform phase difference calibration on arrayed distributed nodes in a DMWC spectrum sensing system. Background technique [0002] In recent years, with the rapid development of the Internet and mobile communication technologies, wireless communication users have shown explosive growth, making limited spectrum resources gradually unable to meet user needs. In order to improve the utilization of spectrum resources, Moltila firstly proposed cognitive radio technology (CR), and in CR technology, spectrum sensing technology plays a wide role. Compressed Sensing (CS) is an undersampling technique whose sampling rate is much lower than that of Nyquist, and can recover signals better, breaking through the bottleneck of Nyquist sampling theorem. The Modulated Wideband Converter (MWC) was proposed by Profe...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L27/00H04B17/382
CPCH04L27/0014H04L2027/0026H04B17/382
Inventor 李智李秋月李健
Owner SICHUAN UNIV
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