Uniform-circular-array-based coherent signal parameter estimation method in impact noise environment

Abstract

The invention, which belongs to the field of array signal processing parameter estimation, particularly relates to a uniform-circular-array-based coherent signal parameter estimation method in an impact noise environment. The method comprises the following steps that: step one, snapshot sampling is carried out on D source signals in space; step two, de-impact preprocessing is carried out on the snapshot sampling data; step three, mode excitation transformation is carried out on array output data; step four, a sparsely reconstructed dictionary set is constructed; step five, sparse reconstruction is carried out to obtain a coherent signal source azimuth; step six, whether a maximum iteration number is reached is determined; if so, a step seven is performed; and if not, t is enabled to be equal to the sum of t and 1 and the step five is preformed again; and step seven, a sparse reconstruction result is obtained, source azimuth information is obtained by an index set U, and a coherent source direction-of-arrival estimation result is outputted. Therefore, a uniform-circular-array-based coherent signal parameter estimation problem in an impact noise environment is solved and the mode excitation transformation and compressed sensing sparse reconstruction ideas are used as parameter estimation bases. The designed method has advantages of low computational complexity, short calculationtime and high robustness.

Description

technical field [0001] The invention belongs to the field of array signal processing parameter estimation, and in particular relates to a coherent signal parameter estimation method based on a uniform circular array in an impact noise environment. Background technique [0002] Spatial spectrum estimation is a key technology in the fields of shortwave direction finding, radio reconnaissance, radar target location and tracking, smart antennas, etc. Accurate direction of arrival (DOA) estimation is of great significance for improving the performance of communication systems. Due to the simple structure and convenient analysis, early spatial spectrum estimation algorithms and applications were proposed based on linear arrays, but linear arrays can only provide azimuth estimations that deviate from the array axis. Compared with linear arrays, circular arrays can provide 360° omnidirectional and unambiguous azimuth estimation, have approximately the same resolution in each azimuth...

AI Technical Summary

Problems solved by technology

[0007] To sum up, the existing technology has the problems of significantly degraded estimation performance in the environment of coherent sources, and even complete failure cannot be estimated; it can only provide azimuth estimation that deviates from the array axis, and the amount of calculation is too large.

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