Yang Xiaodong, Mou Songhui, Yang Rijie, Zhao Junwei. A NOVEL FAST ALGORITHM FOR BLIND SOURCE SEQUENCE ESTIMATION[J]. Journal of Electronics & Information Technology, 2000, 22(1): 78-83.
Citation:
Yang Xiaodong, Mou Songhui, Yang Rijie, Zhao Junwei. A NOVEL FAST ALGORITHM FOR BLIND SOURCE SEQUENCE ESTIMATION[J]. Journal of Electronics & Information Technology, 2000, 22(1): 78-83.
Yang Xiaodong, Mou Songhui, Yang Rijie, Zhao Junwei. A NOVEL FAST ALGORITHM FOR BLIND SOURCE SEQUENCE ESTIMATION[J]. Journal of Electronics & Information Technology, 2000, 22(1): 78-83.
Citation:
Yang Xiaodong, Mou Songhui, Yang Rijie, Zhao Junwei. A NOVEL FAST ALGORITHM FOR BLIND SOURCE SEQUENCE ESTIMATION[J]. Journal of Electronics & Information Technology, 2000, 22(1): 78-83.
Under the situation of unknown channel response,blind sequence estimation(BSE) recovers source symbols from received noisy data directly.As an optimal information detection approach,BSE babed on Viterbi algorithm needs searching a trellis whose state number is exponential to the observation length lt is not practical when observation length increases unceasingly.A novel BSE scheme is proposed in this paper,which uses several first estimated resultS tO recover current symbol.The computation burden is lower because it is irrelevent to observation length．The feasibility has been checked by simulation results.
Qiu W，Bo Y．Performance analysis of the subspace method for blind channel identification．Sisnal Processing 1996，50(1)：71-81．[2]Adachi F Reduced-state Viterbi differential detection using a recursively estimated phase reference for M-ary DPSK．IEE Proc.-I，1995、142(4)：263-270[3]Tong L．Blind sequence estimation．IEEE Trans．On Commun，1995：43(12)：2987-2994．[4]Liu H，Xu G. Closed-form blind symbol estimation in digital communications[J].IEEE Trans．On Signal Processing.1995,43(11):2714-2723[5]Adachi F．Adaptive differential detection for M-ary DPSK IEE Proc.-I,1996，143(1)：21-28.
DownLoad: