Method and system for synthesizing sparse array MIMO radar joint beam directional diagram

Abstract

The invention relates to a method and a system for synthesizing a sparse array MIMO radar joint beam directional diagram. The method comprises the following steps: acquiring a uniform linear MIMO radar joint beam directional diagram transceiving array structure; constructing a sparse MIMO radar joint beam directional diagram transceiving array structure according to the uniform linear array structure; performing binary coding on array elements in the sparse array structure to obtain a transmitting-receiving position indication vector in the sparse array structure; obtaining array element positions in the sparse array structure according to the uniform linear array structure and the transceiving position indication vector; performing optimization solution on the array element position in the sparse array structure according to the obtained target function to obtain the optimal array element position in the sparse array structure; and according to the optimal array element position in the sparse array structure and the obtained uniform linear joint beam directional diagram expression of the MIMO radar, obtaining an MIMO radar joint beam directional diagram under the sparse array. According to the invention, the target detection and parameter estimation performance of the radar can be improved.

Description

technical field [0001] The invention relates to the field of radar array signal processing, in particular to a method and system for synthesizing a sparse array MIMO radar joint beam pattern. Background technique [0002] Multiple input multiple output (MIMO) radar uses multiple transmitting antennas to transmit different orthogonal signals, and uses multiple receiving antennas to receive target echo signals, which can form a virtual array with a larger aperture. Control radar has obvious advantages and has become a popular new radar mode. Non-uniform arrays can achieve better performance with fewer array elements. The number of array elements in the system directly affects the cost, complexity and processing speed of the system. Therefore, the combination of MIMO radar system and non-uniform array arrangement can achieve higher performance with fewer array elements, and it is of great significance to study it in depth. [0003] In practical engineering applications, how ...

AI Technical Summary

Problems solved by technology

However, in the existing research on intelligent optimization algorithms, such as genetic algorithm (GA), there is usually a poor local search ability when solving, which makes the solving ability weaker in the later stage of evolution, resulting in premature phenomenon and suboptimal solution; Moreover, there are many similar individuals in the population in the later stage of evolution, and the fixed probability of crossover and mutation probability makes the individual disturbance in the population smaller, which cannot meet the needs of evolution, so that the optimal solution cannot be obtained.

Therefore, these defects will eventually lead to higher side lobe levels and broadened main lobe beams in the obtained radar joint beam pattern, which will affect the performance of subsequent target detection and parameter estimation. The number of antenna elements used at the same time has a relatively high occupancy rate High, increasing engineering cost

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