Self-calibration method achieved on the basis of spatial spectrum false peak elimination when cross coupling in ULA and UCA is unknown

Abstract

The invention discloses a self-calibration method achieved on the basis of spatial spectrum false peak elimination when cross coupling in ULA and UCA is unknown. The method comprises the steps that 1, a feature vector of a noise subspace is calculated according to an output signal of an array; 2, by means of an orthogonality relation between the noise subspace and a practical steering vector in the signal direction under the cross coupling influence, a spatial spectrum is constructed, false peaks in the spatial spectrum are eliminated, and DOA is estimated through an iteration method according to positions of peak values in the special spectrum, wherein the false peaks are eliminated through two methods that the false peaks are eliminated by filtering zero points in the spacial spectrum and by normalizing the spatial spectrum; 3, the cross coupling coefficient is calculated according to an estimated value of the DOA, and the cross-coupling self-calibration method of the array is obtained. According to the self-calibration method achieved on the basis of spatial spectrum false peak elimination when cross coupling in the ULA and UCA is unknown, by means of the characteristics of the cross-coupling array in the ULA and UCA, the problem that a large number of false peaks exist in a MUSIC spacial spectrum when cross coupling is high is effectively solved, the computation cost is almost not increased, the success rate of DOA estimation is increased, and errors of DOA estimation are decreased, and self-calibration of the array is achieved when cross coupling is unknown.

Description

technical field [0001] The invention belongs to the technical field of radio communication direction finding, and in particular relates to an array self-calibration method based on a spatial spectrum under the condition of unknown mutual coupling in a uniform linear array or a uniform circular array. Background technique [0002] Direction finding is an ancient and novel scientific research direction. With the development of national economy and national defense science and technology, radio communication direction finding technology has been more and more widely used in radar, sonar, wireless communication and other aspects. The array signal processing with airspace signal analysis and processing capabilities has become an important means of radio direction finding. A basic problem in array signal processing is to realize the resolution and location of the signal source, that is, the direction of arrival (DOA) estimation. [0003] The super-resolution DOA estimation algori...

AI Technical Summary

Problems solved by technology

Through the in-depth analysis of MCM characteristics, and under the premise of almost no increase in computational overhead, the problem of a large number of false peaks in the MUSIC spatial spectrum when the mutual coupling is strong is effectively solved, thereby improving the success rate of direction estimation and reducing the estimation cost. error, enabling array self-calibration when mutual coupling is unknown

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