Super-resolution direction finding and source number estimation method for strong and weak multi-targets based on sparse array

Abstract

The invention discloses a method for super-resolution direction finding and source number estimation of strong and weak multi-targets based on a sparse array, which belongs to the technical field of signal processing and is suitable for the extraction of direction of arrival parameters and signal sources when wide-band strong and weak multi-signals coexist. It has the ability of multi-target DOA super-resolution estimation within the same beam width. The main idea is to determine the sparse optimization array, obtain the effective sample data received by the sparse optimization array, and calculate the steering vector array of the sparse optimization array; then get The effective sample data after the amplitude and phase error correction is further obtained from the effective sample data X received by the sparse optimization array. The estimated K sources and the final signal direction of arrival set are obtained. The estimated K sources and the final signal direction-of-arrival set are the results of the sparse array-based super-resolution direction finding and source number estimation of strong and weak multi-targets.

Description

technical field [0001] The invention belongs to the technical field of signal processing, in particular to a sparse array-based strong and weak multi-target super-resolution direction finding and source number estimation method, which is suitable for the extraction of direction of arrival parameters and signal sources when wide-band strong and weak multi-signals coexist It is especially effective for the estimation of weak signal direction of arrival under the influence of strong signal (the dynamic strength of strong and weak signals can reach 60dB), and it has the ability of super-resolution estimation of multi-target direction of arrival within the same beam width. Background technique [0002] Due to the far-near effect and the difference in transmission power of each source in a complex electromagnetic environment, the coexistence of strong and weak signals falling into the bandwidth of the receiver in the received data of electronic reconnaissance often occurs; wide-ban...

AI Technical Summary

Problems solved by technology

[0002] Due to the far-near effect and the difference in transmission power of each source in a complex electromagnetic environment, the coexistence of strong and weak signals falling into the bandwidth of the receiver in the received data of electronic reconnaissance often occurs; wide-band electronic reconnaissance faces the following problems: (1) uniform sparse array , there are problems of ambiguity in high-frequency direction finding and strong mutual coupling in low-frequency direction finding; (2) the existence of strong signals makes it difficult to extract weak signal parameters; (3) multiple signals falling into the same beam width with low SNR , resulting in the failure of traditional beamforming direction finding and multiple signal classification (Multiple Signal Classification, MUSIC) methods; (4) the existence of amplitude and phase errors in the array system, resulting in a decrease in direction finding accuracy

[0003] For (1), the use of sparse optimized array (authorized invention patent "a sparse planar array optimization method based on space gain (ZL201310433324.X)) can alleviate the problem of "cannot take into account high and low frequencies"; but for (2)- (4) The problem has not been solved

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