RLS、VSSLMS算法应用于天线组阵的分析及仿真

Analysis and Simulation for RLS and VSSLMS used in Antenna Arraying

针对天线组阵常用相关算法Simple、Sumple、Eigen(基于本征值)和LS(最小二乘法)的不足,提出递推式最小二乘法(RLS)和变步长最小均方法 (VSSLMS)这2种新型算法,对其应用于深空网天线组阵进行了研究。对这2种算法进行了仿真,结果表明,RLS算法存在信噪比合成性能随组阵天线数目增加而下降的缺陷,VSSLMS算法具有强信号时信噪比合成性能迅速提高的优点;在接收信号弱并且组阵天线数目较少情况下,RLS算法的信噪比合成性能略好于VSSLMS算法;当接收信号较强尤其是组阵天线数目较多时,VSSLMS算法的信噪比合成性能反而比RLS算法更好一些。

For the defects of the four algorithms , Simple , Sumple , Eigen （ Eigen value based ） and LS（ least squ ares） , which are used generally in DSN antenna arraying, two new algorithms, RLS（ recursive least squares） and VSSLMS（ variable step size least mean squares） are brought forward. And their applications in DSN antenna arraying are discussed and analyzed. Simulations of the two algorithms applied to DSN antenna arraying are performed, the results show RLS has a shortcoming that the factor of SNR combination drops down when the antenna numbers of the array increases, while that of VSSLMS has nothing to do with the number of the array antennas ; when the receiving signal is weak and the antenna number of the array is small, the performance of SNR combination of RLS is a little better than VSSLMS; But when the signal is strong especially when the antenna number of the array is big, the VSSLMS can obtain better performance of SNR combination.