Uniform circular array super-resolution spatial spectrum estimation method
A technology of spatial spectrum estimation and super-resolution, which is applied in the field of azimuth super-resolution estimation of uniform circular arrays, and can solve the problems of mapping errors and biased spatial spectrum estimation results.
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[0084] N signals are incident on M=11-element uniform circular array, and the signal-to-noise ratio is equal; the radius of the uniform circular array is r=2.5λ, the number of samples is K=1000, and L=3600 is set.
[0085] (1) Construct a virtual reference array:
[0086] M=11 array elements uniform circular array, radius r=2.5λ, λ is the working wavelength of the signal, that is, the actual distance between two adjacent array elements is about 1.4 times the wavelength, the actual array is a sparse circular array, and the position of the actual array antenna elements The matrix is:
[0087]
[0088] remember x max =r,x min = rcos(10π / 11), y max = rsin(6π / 11), y min =rcos(16π / 11), so the position of the rightmost element of the x-axis reference uniform array is (x max ,0), the position of the leftmost array element is (x min ,0); the y-axis refers to the position of the uppermost element of the uniform array (0,y max ); the position of the lowest array element (0,y m...
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