空间谱估计中误差自校正方法研究

阵列误差一直是空间谱估计理论实际应用的一个主要瓶颈。该文提出了一种新的阵列误差自校正方法，结合有源校正与在线自校正理论和方法，通过利用一个空间位置方位不需要精确可知的辅助信号源，利用优化算法完成信号源角度以及阵列复增益误差的联合估计，然后将估计的阵列误差参数应用到其后的空间谱估计中。这种自校正算法具有准确度高的优点，并且属于离线算法，一方面避免了传统的有源校正方法对辅助源位置方位精度的严格要求，同时避免了在线自校正算法的大计算量，可以应用到实际空间谱估计中。 

Error Self-calibration Method in Spatial Spectrum Estimation

An important bottleneck in spatial spectrum estimation theory is array errors. A new error self-calibration method is presented on the basis of active error calibration and online self-calibration theories. An algorithm combining Direction Of Arrival (DOA) estimation and array complex gain error calibration is developed using an auxiliary source without accurate spatial location information and numerical optimization calculation; the error calibration parameters can be used in the following spatial spectrum estimation. The method has a higher veracity than the active correction algorithm and is an offline calculation procedure, having the advantage of small computation amount, similar to the online self-calibration method, and avoiding accurate spatial location information in classical active calibration method.