Non-uniform movement method for continuous difference array of extended array

Abstract

The invention discloses a non-uniform movement method for a continuous difference array of an extended array. The method comprises the following steps: determining a physical array element position of an array for DOA (Direction of Arrival) estimation; the position of each virtual array element in the difference array of the physical array is determined, and the maximum distance between all adjacent virtual array elements is obtained; performing non-uniform movement on the physical array to obtain a corresponding synthetic array; at the moment, the obtained difference matrix of the synthetic array is completely continuous, and a corresponding DOA estimation value can be obtained by applying a DOA estimation method to the synthetic array. According to the invention, the holes in the original physical array difference array can be filled through the movement of the array in a specific form, and a completely continuous difference array with an expanded aperture is obtained. According to the method, the expanded array aperture and the enhanced DOA estimation precision can be obtained without adding additional physical array elements in the original array, so that the construction cost of the array is reduced, and engineering implementation is easy.

Description

technical field [0001] The invention relates to the technical field of orientation estimation by sparse arrays, in particular to a method for non-uniform movement of extended arrays with continuous difference arrays. Background technique [0002] The use of sparse arrays for azimuth estimation has always received great attention, because compared with uniform arrays, sparse arrays can obtain greater degrees of freedom and larger array apertures; at the same time, the small array element spacing of sparse arrays (less than or equal to Compared with the uniform linear array, the number of array element pairs is less, so the mutual coupling effect between array elements can be effectively reduced. However, the differential matrix of sparse arrays such as coprime arrays is not completely continuous, that is, there are holes in the differential matrix, which greatly affect the continuous degrees of freedom of sparse arrays, resulting in the performance degradation of subspace alg...

AI Technical Summary

Problems solved by technology

However, the difference matrix of sparse arrays such as coprime arrays is not completely continuous, that is, there are holes in the difference matrix, and these holes greatly affect the continuous degrees of freedom of sparse arrays, resulting in a decrease in the performance of subspace algorithms.

Images