Robust Adaptive Digital Beamforming Algorithm Research And System Verification

Adaptive digital beamforming(DBF)technology has the ability of adaptive spatial interference suppression.It is of great significance to radar,sonar and other electronic systems for target detection and tracking in comprehensive electromagnetic environments.However,there are many non-ideal factors in real application,i.e.,array mutual coupling,the steering vector mismatch and the covariance matrix estimation error,which will significantly degrade the performance of the adaptive DBF algorithm.In this dissertation,three robust adaptive DBF algorithms are researched to solve these problems and meet the practical requirement for large-scale digital array.These algorithms are implemented and verified in a 172-element full DBF system.Major work of this paper is shown as below:1.A improved robust adaptive DBF algorithm based on steering vector estimation and covariance matrix reconstruction is studied.The detailed algorithm derivations,performance experimental simulations and analyses are given.2.The mutual coupling model of the array antenna is constructed.An adaptive beamforming algorithm for peak sidelobe control is proposed,which based on mutual coupling estimation and compensation.Then,the mutual coupling estimation algorithm is extended from linear array to planar array to meet the practical requirement.The performance of side-lobe control and adaptive anti-jamming is performed to verify the robustness of the proposed algorithm.3.A 172-element digital array experimental system is constructed in this paper for the algorithm verification.The DBF processor software is designed,implemented and integrated into the experimental system.The functional testing of the DBF processor is completed.The robust adaptive DBF algorithms based on steering vector estimation,covariance matrix reconstruction and mutual coupling estimation and compensation are verified respectively by the measured data obtained from the experimental system.The correctness and effectiveness of these algorithms are all validated.