MIMO radar super-resolution direction finding algorithm of coherent signal sources under color noise background

Abstract

The invention relates to the field of MIMO radar (multiple-input multiple-output radar) super-resolution direction finding algorithm, discloses an MIMO radar super-resolution direction finding algorithm of coherent signal sources under the color noise background, and particularly provides an improved spatial difference smoothing (ISDS) algorithm. Besides, a fast algorithm based on a propagation operator, i.e. a PM-ISDS algorithm, is also provided based on the ISDS algorithm. Theoretical analysis and simulation prove that the algorithm has extremely high color noise suppression capacity, and the estimate performance is better than that of the common spatial smoothing algorithm so that the algorithm has great array element saving and signal source overload capacity without performing characteristic value decomposition and has low computational burden.

Description

technical field [0001] The invention relates to the field of MIMO radar super-resolution direction-finding algorithms, in particular to the MIMO radar super-resolution direction-finding algorithm for coherent sources under the background of colored noise. Background technique [0002] The current research on MIMO radar super-resolution direction finding generally assumes that the noise is Gaussian white noise, but in practical applications, for example, when there are scintillation caused by large reflectors or spike interference caused by waves in the echo, the noise is colored noise. In addition, due to the existence of low-altitude multipath effects, the target echoes received by MIMO radars are often coherent. In these cases, the performance of the most commonly used subspace class algorithms, such as ESPRIT, MUSIC, etc., will drop sharply. Therefore, super-resolution direction finding of colored noise backgrounds or coherent sources has received extensive attention. T...

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Problems solved by technology

There are related literature [Wen C and Wang T.Reduced-dimensional unitary ESPRIT algorithm for monostatic MIMO radar[J].Systems Engineering and Electronics,2014,36(6):1062–1067; Zheng G M,Chen B X,and YangM L .Unitary ESPRIT algorithm for bistatic MIMO radar[J].Electronics Letters,2012,48(3):179–181] uses the method of differential operation to deal with color noise, but cannot distinguish the coherent source

The literature [Ye Zhongfu. Spatial smoothing difference method [J]. Communication Journal, 1997,18(9):1-7] adopts forward-backward spatial smoothing difference (FBSSD) algorithm, which can distinguish coherent sources but has low resolution. without considering the effect of color noise

The literature [Qi Chongying. Research on robustness of high-resolution DOA estimation [D]. Xi'an: Air Force Engineering University, 2005:74-79] also proposed a spatial difference smoothing (SDS) algorithm for coherent sources under the background of color noise , but the algorithm suffers from a rank deficit in the differential covariance matrix under certain circumstances

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