深空组阵算法合成性能对比分析研究

Analysis and Comparison of Deepspace Arraying Combining Algorithm

特征值（Eigen）算法和Sumple算法是2种可应用于深空天线组阵的信号合成算法。首先讨论了深空组阵合成的原理和算法评价准则;然后分析了基于Eigen的快速迭代算法PMFM（proposed matrix free method）,并基于PMFM提出一种快速迭代方法——C-PMFM算法,利用C-PMFM单次迭代原理,探讨了Sumple算法与Eigen算法的关系;最后详细仿真并比较了2种算法的合成性能。仿真结果表明：Sumple算法具有极快的收敛速度,适用于长积分时间条件下的组阵合成;C-PMFM 5次迭代算法虽所需的计算量更大,但具有比Sumple算法更优越的低信噪比合成性能。

Eigen algorithm and Sumple algorithm are main signal combining algorithms for deep space large antenna arrays. Firstly, deepspace arrays signal combining scheme is proposed, general theoretical framework for optimal signal combining using the Eigen algorithm is analyzed, and a fast Eigen-based signal combining algorithms C-PMFM is proposed. Based on single step iteration Eigen, relation of Eigen and Sumple algorithm is discussed. Finally, numerical simulations of given algorithms is presented in detail. Simulations indicate that Sumple got higher convergence speed in condition of long integrated time and C-PMFM 5 step iteration although needs more amount of computing operations and memory storage, but can get higher combining performance than Sumple in lower SNR condition.