A Range-Doppler Imaging Method Based on Multi-task Bayesian Compressive Sensing

Abstract

The invention discloses a distance-Doppler imaging method based on multi-task Bayes compression sensing and mainly solves problems of high complexity and low resolution existing in the prior art. The method comprises steps that 1), a pulse modulation sequence is emitted by a radar to a target scene, and an echo signal is further received by the radar; 2), a target scene distance scope and a Doppler scope are divided at equal intervals, discrete sampling for the echo signal is carried out, and an echo matrix is constructed; 3), an auxiliary variable is cited, and an optimization solution function is constructed; and 4), the optimization function is solved, and the distance-Doppler imaging result of the scene is acquired. According to the method, scene distance-Doppler dimensions are reconstructed, not only are algorithm complexity reduction and resolution improvement realized, but also complex parameter setting is not required, and the method can be applied to fields of baffle field monitoring, missile guidance and space detection.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, in particular to a range-Doppler imaging method. It can be used to estimate the position and velocity of radar targets. Background technique [0002] The emergence of radar imaging has expanded the original concept of radar, enabling radar to have the ability to image and identify regional targets and moving targets. At the same time, it has shown great potential in the application of microwave remote sensing, providing people with more and more useful information. . Radar typically has three-dimensionally resolved information in range, Doppler, and angle. With the continuous development of radar technology and people's urgent demand for high-resolution radar, the acquisition of multi-dimensional information is becoming more and more important. [0003] The fundamental principle of radar imaging is to use various methods to improve the resolution of each dimension of radar. To...

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Problems solved by technology

[0004] The first mismatch filter method, because this method uses a pulse sequence instead of a single pulse, although it can get a higher range resolution, it cannot get a high Doppler resolution

[0005] The second iterative adaptive method is a data adaptive method. Although this method overcomes the defect of the mismatch filter in the Doppler resolution and can obtain a high Doppler resolution, this method The method is unstable in the presence of noise and has a large amount of calculation

[0006] The third method is to use the sparse prior of the range Doppler image to convert the range-Doppler imaging into a sparse signal recovery problem for solving. The solution speed is fast and the resolution is high, but due to its complex parameter settings Affects the actual use of the method

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