Cascade-based subspace fitting angle estimation method in co-prime linear array

Abstract

The invention discloses a cascade-based subspace fitting angle estimation method in a co-prime linear array, wherein signal subspace fitting is combined with a co-prime array to realize better estimation performance than a traditional uniform linear array. According to the design method, by utilizing the idea of cascade connection, fuzzy angle estimation values of all sub-arrays of a co-prime array are obtained according to propagation operators in an established mathematical model of array signals, all estimation values, including true values and fuzzy values, of angles are recovered through the fuzzy angle estimation values of all the sub-arrays, then the fuzzy angles are eliminated according to the co-prime characteristics of the co-prime array to obtain areal initial angle estimation value, and finally a direction matrix is reconstructed according to the initial angle estimation value to convert multi-dimensional search into multiple one-dimensional search and convert global search into local search so as to obtain a final incident signal angle estimation result.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a subspace fitting angle estimation method based on concatenation in a coprime linear array. Background technique [0002] In the traditional Direction of Arrival (DOA) estimation algorithm, the distance between adjacent elements in the array must not be greater than half the wavelength of the incident signal to avoid angular ambiguity. However, at this time, there are shortcomings such as serious mutual coupling between adjacent array elements, small array aperture, poor resolution and low direction finding accuracy, and cannot meet the actual environmental requirements. In this background, a sparse array with an element spacing greater than half a wavelength was proposed and began to be popularized and applied. Coprime array is one of the main forms of sparse array. Through the coprime relationship of subarrays, direction finding ambiguity can be effectively eliminated....

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Problems solved by technology

[0004] In order to solve the above-mentioned problems existing in the prior art, the purpose of the present invention is to provide a cascade-based subspace fitting angle estimation method in a coprime linear array, which solves how to apply the uniform array spatial spectrum algorithm to the coprime array In the angle estimation, it breaks through the limitation that the distance between the elements of the traditional uniform array is not greater than half a wavelength, and gives full play to the advantages of the coprime array. While improving the performance of the array parameter estimation, it is close to the actual scene, and can get more information about the received signal from the array. Receive signal information to make it more practical

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