Akind of Joint Detection base on Klman filter
Xiao Yong-gang · Communications technology · 2010
For the randomness of the real wirelesss channel,it is hard to precisely estimate AWGN,while the traditional JD algorithms are not so reliable in the real system.Thus,a novel JD algorithm based on Kalman filter is proposed and analyzed in detail.Performance simulation indicates that the proposed JD algorithm is applicable in the real system.Meanwhile,the main work is summarized the further study and improvement direction also suggested.Finally a reference is provided for engineering application in JD algorithm implementation and algorithm performance.