针对低信噪比条件下干涉仪测向准确度低的问题,提出了一种基于信噪比估计和相位差矢量平均的自适应测向方法。本文方法通过对多次测量的相位差复数矢量求平均来提高相位差的测量精度和稳定性,从而提高测向性能。提出的自适应准则通过估计来波信噪比,可快速确定不同信噪比下矢量平均所需样本量,使处理后信号达到设定信噪比阈值,获得稳定的测向准确度。分析了信噪比阈值对本方法测向性能的影响。本文方法计算复杂性小,对测向实时性影响小。理论分析和仿真结果表明:本方法在低信噪比条件下可以达到很高的测向准确度,对低信噪比条件下的测向性能改善明显。
Aiming at the low accuracy of interferometer direction finding (DF) with low signal‐to‐noise ra‐tio (SNR) ,a new adaptive direction finding method is proposed based on SNR estimation and phase‐difference vector averaging .This method can enhance the accuracy and stability of the phase‐difference measurement through multiple measuring and averaging the phase‐difference complex vectors ,which can improve the performance of the direction finding .The proposed adaptive criterion can estimate SNR of the arrival signal and quickly determine the required sample size ,therefore adjust the sample size adap‐tively at different SNRs and obtain the stable accuracy of DF .The effect of SNR threshold on the per‐formance of the proposed method is analyzed .The method holds a low computational complexity and has little influence on real‐time of DF .Theoretical analysis and simulation results reveal that the method can achieve high accuracy even under very low SNR conditions ,and improve the DF performance obviously .