DOA estimation method considering mutual coupling effect under non-uniform noise condition

A non-uniform noise and DOA technology, applied in the field of signal processing, can solve problems such as low resolution and poor estimation accuracy

Active Publication Date: 2018-10-19
DALIAN UNIV
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Problems solved by technology

[0005] Aiming at the problem of poor estimation accuracy and low resolution of coherent source angle estimation by an array considering mutual coupling in a non-uniform noise scene, the present invention proposes a DOA estimation method that jointly optimizes the non-uniform noise covariance matrix and mutual coupling coefficient

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  • DOA estimation method considering mutual coupling effect under non-uniform noise condition
  • DOA estimation method considering mutual coupling effect under non-uniform noise condition
  • DOA estimation method considering mutual coupling effect under non-uniform noise condition

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Embodiment Construction

[0170] Attached below figure 1 The implementation steps of the present invention are further described in detail:

[0171] 1 Establishing an irrelevant signal model

[0172] Consider L uncorrelated far-field narrowband signals from direction θ l , l=1, 2,..., L is incident to a uniform linear array with M array elements, then the array receiving vector can be expressed as:

[0173] x t=As t+n t (1)

[0174] Among them, x t = [x 1 t, x 2 t,...,x M t] is the received signal vector, is an array flow pattern matrix, a(θ)=[1, a(θ),…, a M-1 (θ)] T is the steering vector about the direction θ, a(θ l ) = [1,e -jα ,...,e -j(M-1)α ] T is the array steering vector of the lth source, α=2πd sin(θ l ) / λ is the phase difference between adjacent array elements, d and λ are the array element spacing and signal wavelength respectively, usually d≤λ / 2; n(t)=[n 1 (t), n 1 (t),...,n M (t)] is uncorrelated non-uniform Gaussian noise, and n(t)~CN(0, Q), Q is the non-uniform nois...

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Abstract

The invention provides a DOA estimation method considering a mutual coupling effect under a non-uniform noise condition. The method includes the following steps: firstly, an algorithm obtains a noise-free signal covariance matrix under mutual coupling conditions through an alternating iterative method based on a least square theory; then, a mutual coupling coefficient matrix can be reconstructed by using a signal subspace principle to solve the noise-free signal covariance matrix after mutual coupling compensation; and finally, decoherence of coherent signal sources can be realized based on aspatial smoothing method, and DOA parameter estimation can be achieved by using a traditional MUSIC algorithm. Numerical simulation shows that compared with the traditional DOA estimation algorithm under the MUSIC, non-uniform noise and mutual coupling condition, the provided algorithm can better inhibit non-uniform noises, obviously relieve the influence of the mutual coupling effect on the spatial smoothing algorithm, and obviously improve DOA estimation performance under coherent signal source conditions.

Description

technical field [0001] The invention belongs to the field of signal processing, and further relates to a method for improving DOA estimation performance under non-uniform noise. Aiming at the problem of poor estimation accuracy and low resolution of coherent source angle estimation by an array considering mutual coupling in a non-uniform noise scene, the present invention proposes a DOA estimation method that jointly optimizes the non-uniform noise covariance matrix and mutual coupling coefficient. First, based on the least squares (LS) theory, the proposed algorithm obtains the noise-free signal covariance matrix under the condition of mutual coupling through an alternate iterative method; then uses the principle of signal subspace to reconstruct the mutual coupling coefficient matrix to solve the mutual coupling compensation Finally, the covariance matrix of the noise-free signal; finally, the decoherence of the coherent source is realized based on the spatial smoothing meth...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S3/00
CPCG01S3/00
Inventor 王洪雁房云飞张海坤
Owner DALIAN UNIV
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