Nested array direction-of-arrival estimation method based on off-grid sparse Bayesian learning
A direction-of-arrival estimation and sparse Bayesian technology, which is applied in direction-determining orientators, radio wave measurement systems, and measurement devices, can solve the problems of effective array aperture loss, seriousness, and high computational complexity, and avoid array Aperture reduction, avoiding the effect of complex matrix transformations
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[0017] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0018] Such as figure 1 Shown, method of the present invention comprises the steps:
[0019] (1) After the far-field narrow-band Gaussian signal received by the nested array is matched and filtered, the data vector x(t)=As(t)+n(t) containing DOA information at time t is obtained, t=1,2,. ..,T, where:
[0020] T represents the number of snapshots;
[0021] s(t)=[s 1 (t),s 2 (t),...,s K (t)] T Represents K uncorrelated narrowband signals transmitted at time t, where s k (t) satisfy the mean value is 0, the variance is k=1,2,..., K complex Gaussian distribution, ( ) T means transpose;
[0022] A=[a(θ 1 ), a(θ 2 ),...,a(θ K )] represents an M×K-dimensional array flow pattern matrix, where M=M 1 +M 2 is the number of nested array elements, M 1 and M 2 Indicates the number of array elements in the inner and outer layers of the...
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