Self-adaptive target detection method of frequency diversity array multiple-input-multiple-output radar

Abstract

The invention discloses a self-adaptive target detection method of a frequency diversity array multiple-input-multiple-output radar, and mainly solves the problem that the existing frequency diversityarray multiple-input-multiple-output radar cannot realize self-adaptive target detection. The method comprises the steps of 1) constructing an equivalent received signal of the frequency diversity array multiple-input-multiple-output radar; 2) constructing a binary hypothesis test problem and generalized likelihood ratio test detection statistics according to the received signal; 3) carrying outoptimization solution on the test statistics in the step 2) by adopting an improved interval search method based on a Newton-like method to obtain improved interval search generalized likelihood ratiodetection statistics based on the Newton-like method; and 4) setting a detection threshold according to the actual situation, and comparing the improved interval search generalized likelihood ratio detection statistics based on the Newton-like method with the detection threshold to obtain a detection result. The method can achieve the self-adaptive detection of the target, improves the target detection performance of the radar, and can be used for the target recognition of the frequency diversity array multiple-input-multiple-output radar.

Description

technical field [0001] The invention belongs to the technical field of radar, and in particular relates to a design method of adaptive target detection, which can be used for target detection of frequency diversity array multi-input multi-output FDA-MIMO radar. Background technique [0002] With the development of radar technology, the resolution of radar system has been continuously improved, and the performance of detecting targets has also been continuously enhanced, which makes radar target detection face many challenges. The existing radar system includes synthetic aperture radar, pulse Doppler radar, phased array radar, multiple input multiple output radar and so on. With the upgrading of the radar system, the theory of multi-channel signal detection has been continuously upgraded. The frequency diversity array MIMO radar in multiple-input multiple-output radar has a higher signal processing dimension, which can obtain more comprehensive clutter and target information...

AI Technical Summary

Problems solved by technology

At present, the adaptive design of detectors based on the GLRT criterion is based on the traditional radar system. Because the traditional radar system does not have the characteristics of waveform diversity, the target detection performance is poor.

Frequency diversity array multiple-input multiple-output FDA-MIMO radar, because of the introduction of the distance dimension, has a higher degree of freedom in system controllability, but the current target detection method based on frequency diversity array multiple-input multiple-output FDA-MIMO radar does not consider the target In the case of unknown parameters such as information and interference covariance matrix, the likelihood ratio criterion cannot be used to test the unknown parameters of LRT calculation, and the adaptive target detection of frequency diversity array multi-input multi-output FDA-MIMO radar cannot be realized

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