Underdetermined multipath arrival angle estimation method based on high-order statistics and non-uniform array

Abstract

The invention discloses an underdetermined multipath arrival angle estimation method based on high-order statistics and a non-uniform array. The method comprises the following steps: acquiring channel data; calculating the spatial high-order cumulant of the channel data, and organizing the spatial high-order cumulant into a covariance matrix; constructing a corresponding virtual array manifold according to the organization mode of the covariance matrix; performing singular value decomposition or characteristic decomposition on the covariance matrix to obtain a signal subspace and a noise subspace; and based on orthogonality of the signal subspace and the noise subspace, combining a virtual array manifold to define a spatial spectrum, and searching a spectrum peak to obtain an estimated value of the multipath angle of arrival. The non-uniform array structure can be obtained by solving a mixed integer programming problem. On one hand, arrival angle estimation under an underdetermined condition can be realized, and on the other hand, arrival angle estimation which is more accurate and higher in precision compared with a conventional estimation method based on a uniform linear array can be obtained. The method has the advantages of being large in estimation freedom degree, high in estimation precision, small in calculation complexity and large in noise robustness.

Description

technical field [0001] The invention belongs to the technical field of large-scale multiple-input multiple-output array signal processing, and more particularly relates to an underdetermined multipath angle of arrival estimation method based on high-order statistics and non-uniform arrays. Background technique [0002] With the advent of the 5G era, intelligent applications are becoming more and more extensive, and there are more and more fields that require automatic direction positioning. Therefore, the estimation of the incoming wave direction has received great attention. Whether the estimation of the incoming wave direction is accurate or not directly affects the performance of the upper-layer application. At the same time, the space signal propagation environment is becoming more and more complex, and the number of incoming wave directions is often larger than the number of array elements of the antenna array. How to achieve incoming wave estimation in underdetermined ...

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Problems solved by technology

[0005] Aiming at the defects and improvement needs of the prior art, the present invention provides an underdetermined multipath angle-of-arrival estimation method based on high-order statistics and non-uniform arrays, aiming to solve the problems of high computational complexity and low signal-to-noise in the prior art. The estimation accuracy is lower than that in the environment, and it is impossible to effectively estimate the angle of arrival in the under-determined scene and other technical problems

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