Two-dimensional spatial-spectrum spectral-peak searching method

Abstract

The invention discloses a rapid two-dimensional spectral-peak searching method suitable for engineering realization. The method comprises the following steps of: 1, carrying out two-dimensional global search for a spatial spectrogram composed of a noise subspace and antenna array flow pattern vectors, and obtaining global search spectral-peak points; 2, carrying out fine search near the global search spectral-peak points, and obtaining spectral-peak candidate points; 3, classifying the spectral-peak candidate points, and finding real spectral-peak points corresponding to the number of signals; and 4, and utilizing false spectral peak information around a real spectral peak, and finally using a weighted value of the real spectral peak and false spectral peaks around the real spectral peak as an estimated value of an incoming wave direction. Aiming at using a 2D-MUSIC algorithm to estimate the direction of arrival of incident signals, a two-dimensional spectral-peak searching process occupies most of the time of the whole algorithm so as not to obtain the direction of arrival of the signals in real time or on time. According to the method disclosed by the invention, on the basis of characteristic analysis of the spatial spectrogram, a data cluster and grading searching method is used to accelerate the spectral-peak searching process and the precision of search results are ensured.

Description

technical field [0001] The invention relates to the two-dimensional estimation of the direction of arrival of the signal in the array signal processing, in particular to the search method of the spectral peak in the signal two-dimensional space spectrum. Background technique [0002] In modern array signal processing, direction of arrival (DOA) estimation has been a research hotspot in recent decades, and has a wide range of applications in radar, underwater sonar, mobile communication and electronic countermeasures. In practical applications, it is usually necessary to perform two-dimensional direction finding (azimuth and elevation angles) on the direction of arrival of multiple signal sources. Scholars at home and abroad have proposed a variety of solutions. Among them, the subspace method such as the MUSIC algorithm is a relatively classic method. Its direction finding error can approach the lower bound of the Cramer-Rao variance and has a high angular resolution. Howev...

AI Technical Summary

Problems solved by technology

However, in practical engineering applications, due to problems such as array channel inconsistency, mutual coupling of antenna elements, and low signal-to-noise ratio, the actual spatial spectrogram is often not ideal, especially when multiple signals are incident at the same time. The above spectral peak search algorithm often gives wrong results, which increases the rate of missed alarms and false alarms to a certain extent.

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