Motion synthesis array-based multi-source DOA estimation method

Abstract

The invention discloses a motion synthesis array-based multi-source DOA estimation method. The motion synthesis array-based multi-source DOA estimation method comprises the following steps of (1) acquiring L segments of data by a motion array according to a period T, wherein each segment of data comprises N snapshots; (2) performing characteristic decomposition on covariance matrix of two adjacentsegments of data to obtain a noise sub-space, building a two-dimension spectral function, and obtaining a group of phase correction factors and an initial DOA estimation value by two-dimension searching or dimension-reduction searching; (3) continuously performing the step (2) on the L segments of data to obtain (L-1) groups of phase correction factors; and (4) performing characteristic decomposition on covariance matrix of total L segments of data to obtain a total noise sub-space, compensating an array flow pattern according to the phase correction factors obtained in the step (3), constructing a spectral function for synthesizing the array, and searching the spectral function to obtain the DOA estimation value. The motion synthesis array-based multi-source DOA estimation method is applicable for array non-uniform motion and source incoherent conditions, the hole for synthesizing the array can be greatly expanded, and the DOA estimation performance also can be greatly improved.

Description

technical field [0001] The invention relates to the technical field of array signal processing direction-of-arrival estimation, in particular to a multi-source DOA estimation method based on a motion synthesis array. Background technique [0002] At present, due to the increasing number of interference signals, in order to effectively distinguish useful signals from these interferences, a high-resolution DOA estimation algorithm is very important. The most commonly used method to increase the resolution of the array is to increase the aperture of the array, but increasing the aperture of the array will increase the burden on the carrying platform and consume more hardware resources. In addition, due to the miniaturization trend of the carrying platform, such as UAV, the array with large aperture cannot be applied to practical application scenarios. In this case, the synthetic array method can meet the requirements of high resolution and miniaturization of the carrying platf...

AI Technical Summary

Problems solved by technology

[0004]At present, most of the research on ETAM algorithm considers the situation of uniform motion of the array, which is difficult to guarantee in practice

In addition, for multi-source DOA estimation, the traditional ETAM algorithm can only estimate one phase correction factor at a time, so multiple signals are required to be coherent

However, phase noise is often caused by systematic errors and random phase noise, and is generally different for different sources, so it cannot be considered that the phase correction factor for all sources is the same

Since the phase correction factor estimation is the key to the ETAM algorithm, if the phase correction factor estimation errors of different sources are large, it will have a great impact on the final DOA estimation performance

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