基于root-RARE算法的非同构分布式阵列高精度方向估计

发布时间：2018-03-22 15:00

本文选题：非同构分布式阵列天线　切入点：求根降秩算法　出处：《系统工程与电子技术》2014年06期 　论文类型：期刊论文

【摘要】：针对非同构分布式阵列无法使用旋转不变子空间算法(estimation of signal parameters via rotation invariant technique algorithm,ESPRIT),同时为了提高非同构分布式阵列的角度估计精度,提出基于求根降秩算法(root rank reduction estimator,root-RARE)的目标波达方向估计方法。由于分布式阵列的基线长度远大于半波长,合成方向图出现栅瓣,导致测角模糊。算法以root-RARE与多重信号分类算法(multiple signal classification,MUSIC)联合解模糊,以root-RARE得到的粗估计为参考,解整个非同构分布式阵列MUSIC谱估计的模糊,从而得到高精度无模糊的估计。推导非同构分布式阵列方向估计的克拉美罗界,分析算法的波达方向估计性能,同时分析分布式阵列方向估计时的基线模糊门限与信噪比门限之间的关系。仿真结果验证所提算法方向估计的正确性及有效性。
[Abstract]:For the non homogeneous distributed array cannot use rotation invariant subspace algorithm (estimation of signal parameters via rotation invariant technique algorithm, ESPRIT), at the same time in order to improve the estimation precision of non homogeneous distributed array angle, puts forward solving algorithm based on reduced rank (root rank reduction estimator, root-RARE) to estimate the direction of arrival method. The length of the distributed array the baseline is far greater than the half wavelength, synthetic pattern grating lobes, resulting in angle ambiguity. The algorithm takes root-RARE and multiple signal classification algorithm (multiple signal classification, MUSIC) combined with fuzzy solution, the coarse estimation obtained by root-RARE for reference, the fuzzy solution of non isomorphic distributed array MUSIC estimation, in order to get high precision without ambiguity the estimation is derived. Estimation of non homogeneous distributed array direction of the CRLB, algorithm of DOA analysis The performance is estimated, and the relationship between baseline fuzzy threshold and SNR threshold of distributed array direction estimation is analyzed. Simulation results verify the correctness and effectiveness of the proposed algorithm.

【作者单位】：西安电子科技大学雷达信号处理国家重点实验室;
【基金】：国家自然科学基金(61001209,61101244) 中央高校基本科研业务费专项资金(K5051202038) 长江学者和创新团队发展计划(IRT0954)资助课题
【分类号】：TN957.51

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