Direction finding method based on improved L array star-carrying broadband multipurpose

Abstract

The invention discloses a direction finding method based on improved L array star-carrying broadband multipurpose The process is that establishing an array model based on an improved L array; carrying out multipurpose frequency domain estimation for array receiving data, and acquiring K spectra peaks by a frequency domain; carrying out analysis of spectra of receiving data of each array element, and forming an array column vector X(n k) by taking data of different array elements corresponding to a target frequency; and spectra peak searching by a cost function as shown in the specification, and judging the amount of signal source, and acquiring the angle of corresponding airspace target. By the method, the operand is small, the performance is superior, under the condition of the coexistence of a plurality of independent sources and multi-pair of coherent source in airspace, and relative precise DOA (direction of arrival) estimation can be realized.

Description

technical field [0001] The invention relates to the technical field of array signal processing, and relates to a space-borne broadband multi-target direction finding method based on an improved L array. In DOA estimation, the choice of array manifold has a great influence on the performance of direction finding. The improved method proposes an improved array manifold of L array on the basis of using a uniform L array with excellent performance. The method of joint direction estimation can realize the precise direction finding of multiple targets in the airspace at the same time. Background technique [0002] In the past 30 years, array signal processing, as an important branch of signal processing, has been widely used and developed rapidly in various national economic and military applications such as communication, radar, sonar, earthquake, exploration, and radio astronomy. The so-called array signal processing refers to setting multiple sensors at different positions in ...

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Problems solved by technology

[0004] 1. Wu Shilong and others published the article "Research on High-precision Direction Finding of Ground Radiation Sources by Space-borne Sparse L-arrays" in the second issue of Shanghai Aerospace Science and Technology in 2006. This method is based on uniform and non-uniform L-arrays respectively. The two-dimensional MUSIC algorithm studies the direction finding of ground radar radiation sources with sparsely distributed L arrays on space. The non-uniform L array has high angle measurement accuracy, but this method is only suitable for independent sources, and is often powerless for coherent sources.

[0005] 2. In May 2008, Han Yinghua and others published the article "A Two-Dimensional Direction of Arrival Estimation Algorithm for Distributed Information Sources Based on L-array" in the fifth issue of the Journal of Northeastern University. The direction vector in the integral form is simplified to the Schur-Hadamard product of the point source direction vector and the real vector, and a two-dimensional direction-of-arrival separation estimation method for coherent distributed sources based on L-array is proposed, which has better effect, but this method is computationally complex and the amount of calculation is large

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