A method and device for constant false alarm detection of lfmcw radar target based on sparse reconstruction

Abstract

The present invention proposes a sparse reconstruction-based LFMCW radar target constant false alarm detection method and device. The method includes: dividing grid points in a fast time domain and a slow time domain, and estimating all grid points based on second-order Taylor expansion. parameters, according to the parameter estimation results to establish the received signal observation model y=Gp+n, y is the received signal, is the observation matrix, L and K are the number of distance cells and pulses of the LFM continuous wave radar signal respectively, C and V are respectively The number of grid points divided between fast time domain and slow time domain, n is Gaussian white noise, p is the complex amplitude of the grid point corresponding to the target; based on the received signal observation model, the target p is reconstructed by the method of sparse recovery, and the reconstruction result is obtained The reconstruction result is converted into a range Doppler matrix for constant false alarm detection. The present invention can realize constant false alarm detection based on nonlinear reconstruction results, and improve target detection performance.

Description

technical field [0001] The invention relates to the field of radar signal processing, in particular to an LFMCW (Linear Frequency Modulation Continuous Wave, linear frequency modulation continuous wave) radar target constant false alarm detection method and device. Background technique [0002] Signal processing and target detection are the basic functions of radar. In the multi-target radar scenario, in order to reduce the influence of strong target side lobes, the conventional radar signal processing method is to first perform matched filtering to improve the target signal-to-noise ratio and then perform target detection. In practical applications, windowing is usually used to suppress sidelobes, but the mismatch caused by the data window will lead to performance loss. On the other hand, since the target is not necessarily located on the grid point of the FFT (fast Fourier transform), there is a straddle loss. [0003] Signal processing methods based on sparse recovery ca...

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Problems solved by technology

[0004] Purpose of the invention: Aiming at the problem that the radar signal processing method based on sparse restoration has high computational complexity and it is difficult to perform constant false alarm detection based on reconstruction results, the present invention provides a LFMCW radar target constant false alarm based on sparse reconstruction detection method, which can effectively improve the target detection performance

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