一种新的基于DFP算法的认知无线电信号检测算法

鉴于信号检测在认知无线电信号中的重要作用,研究了恒模盲信号检测算法（CMA）在认知无线电中的应用。针对于原有典型恒模盲信号检测算法的性能上的劣势,结合最优化理论,提出了一种线性受限拟牛顿恒模算法,称之为LC-DPFCMA,并将它与传统的线性受限恒模算法（LC-CMA）及最小二乘恒模算法（LSCMA）进行了仿真比较。仿真结果表明,提出的LC-DPFCMA算法比LC-CMA算法收敛效果较好;与LSCMA算法相比,算法复杂度有明显降低,且在低信噪比下表现优秀。

New cognitive radio signal detection algorithm based on davidon-fletcher-powell method

Signal detect ion play s an impor tant role in cognit ive r adio. Applications o f the CMA blind signal detect ion algorithm in cognit iv e radio w as analy zed. Given to the disadvantag es of the original ty pical CMA blind signal detect ion, a linearly const rained quasi-New ton constant modulus alg orithm ( LC-DFPCMA ) w as pro posed w ith the opt imization theory . T he simulat ion result s show that LC-DFPCMA can t rack the user number faster than convent ional LC-CMA and make conv er gence better as w ell. It has o ut standing performance at low signal-to-no ise, w ith it s complex ity obviously low than convent ional LSCMA.