Sparse MIMO array design method combining stamp problem and third-order nested array

By combining stamp problem and sparse MIMO array design with third-order nested arrays, the detection difficulties and insufficient spatial freedom of traditional arrays in multi-source situations are solved, and higher source resolution and DOA estimation accuracy are achieved.

CN119291602APending Publication Date: 2025-01-10NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Patent Information

Application Number
CN202411398289.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-09
Publication Date
2025-01-10

AI Technical Summary

Technical Problem

Traditional uniform arrays cannot detect these sources when the number of sources to be estimated is greater than the number of array elements, and the spatial smoothing algorithm can only utilize continuous parts of the sparse array, resulting in reduced spatial degrees of freedom and low DOA estimation accuracy.

Method used

Using a sparse MIMO array design method combining stamp problems and third-order nested arrays, the mathematical model of stamp problems is used to define the sum operation in array design, and combining the third-order nested array structure, a higher degree of continuous freedom is designed. and sparse MIMO arrays with better spatial smoothing algorithm adaptability.

Benefits of technology

It improves the source resolution and DOA estimation accuracy, can estimate more sources more effectively, and improves the continuous degree of freedom of the array and the adaptability of spatial smoothing algorithms.

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Abstract

The invention discloses a sparse MIMO (Multiple Input Multiple Output) array design method combining a stamp problem and a third-order nested array, which belongs to the field of array signal processing, and comprises the following steps of: firstly, selecting a corresponding solution in the stamp problem according to the number of array elements of a plurality of sub-arrays so as to determine the initial positions of the plurality of sub-arrays; and secondly, multiplying the plurality of sub-arrays by corresponding array element spacing coefficients, and then taking a union set to finally obtain the array element position of the extracted array. The array provided by the method has a larger continuous degree of freedom, the generated virtual array elements are all continuous, and the method has a higher practical value in the application of a spatial smoothing DOA estimation algorithm.
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