MIMO radar target detection method and device

Abstract

The embodiment of the invention provides an MIMO radar target detection method and device, and the method comprises the steps: receiving a radar echo signal, sampling each pulse of the radar echo signal in one wave beam along a distance dimension, then carrying out non-coherent accumulation among pulses, and obtaining an envelope data vector; determining a suspected target echo of the envelope data vector, determining a rule for calculating a local mean value according to sampling points at preset distances at the left side and the right side of the suspected target echo, and calculating the local mean value of the suspected target echo according to the rule; calculating a local standard deviation of the suspected target echo according to the rule of calculating the local mean value and the local mean value of the suspected target echo; and determining a detection threshold vector according to the local mean value and the local standard deviation, performing element-by-element over-threshold detection on the envelope data vector, and outputting a final detection result. According to the embodiment of the invention, the method is high in adaptability in a complex non-uniform environment, and is high in operability.

Description

technical field [0001] The present invention relates to the technical field of radar signal processing, and more specifically, to a MIMO radar target detection method and device. Background technique [0002] Under the conditions of MIMO (multiple-in multiple-out, multiple-in multiple-out) radar with higher range resolution (the embodiment of the present invention does not consider the situation of distance expansion target), low grazing angle, and high sea condition detection conditions, sea clutter The amplitude distribution characteristics of the general performance of lognormal distribution, Weibull distribution, K distribution and other non-Gaussian distribution types. These non-Gaussian amplitude distribution types usually contain two or more unknown parameters, so the constant false alarm rate (CFAR: Constant False Alarm Rate) detection method (such as mean CFAR, ordered statistics, etc. It is difficult to obtain good CFAR performance under such sea clutter backgroun...

AI Technical Summary

Problems solved by technology

[0005] On the one hand, high-order moment calculation will bring greater computational complexity, which makes it difficult to complete the detection process of thousands of times on a distance line within the millisecond-level processing time specified by the radar system; on the other hand, the complex The changing background environment is also difficult to guarantee the accuracy of parameter estimation based on high-order moment calculations, which instead leads to unstable detection performance of the detector, and even a sharp deterioration in detection performance

[0006] 2) The ability to adapt to the actual complex and non-uniform environment is low, and it is greatly affected by the characteristics of local areas, etc.

However, this kind of solution greatly increases the difficulty and operability of the algorithm's engineering implementation, and it is difficult to be completely adopted in the actual radar equipment.

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