A Robust Direction of Arrival Estimation Method

Abstract

The invention discloses a robust estimation method of a direction of arrival (DOA), by which quite high estimation precision can be obtained. The method specifically comprises: sequentially dividing an equidistant linear array into three sub-arrays from the left to the right, i.e., a forward auxiliary array, a central main array and a backward auxiliary array respectively; dividing the central main array into a front half portion and a rear half portion according to a certain rule; then calculating a covariance matrix Rforward between the front half portion and the backward auxiliary array and a covariance matrix Rbackward between the rear half portion and the forward auxiliary array; performing singular value decomposition respectively on the Rforward and the Rbackforward, and extracting the orthogonal complement of the subspace of far-field signals received by the equidistant linear array from a singular value decomposition result; and establishing a DOA estimation operator by use of guiding vectors between the orthogonal complement and the front half portion and the rear half portion, performing search on the DOA estimation operator by use of a minimum parameter search method to obtain K minimum value points, and through the search, obtaining theta 1 to theta k of each minimum value point as k DOAs of the far-field signals.

Description

technical field [0001] The invention belongs to the technical field of linear array signal processing. Background technique [0002] The so-called uniform linear array refers to an array formed by a plurality of sensors arranged linearly and equidistantly. When the echo signal reaches the array, multiple echo signals are formed on multiple sensors. Therefore, array signal processing has the characteristics of multi-dimensional space and has the advantage of spatial power combination. As a commonly used array layout method, the uniform linear array has the advantages of simplicity, convenience and low cost in engineering implementation, so it is often used in the fields of car reversing radar, train anti-collision radar and sound source positioning. Due to its huge industrial application potential, the study of various techniques suitable for linear arrays has become one of the main research directions of array signal processing technology. [0003] In the field of linear ...

AI Technical Summary

Problems solved by technology

However, this algorithm has two major disadvantages: one is that the array units between the two far apart sub-arrays are not fully utilized, resulting in a decrease in the utilization rate of the array; Therefore, under the influence of array mutual coupling, the performance of the algorithm will be seriously deteriorated

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