Title :
Soft-output equalization with TCM for wireless communications
Author :
Chen, Yue ; Letaief, Khaled ; Chuang, Justin C I
Author_Institution :
Hong Kong Univ. of Sci. & Technol., Kowloon, Hong Kong
Abstract :
This paper investigates the use of soft-output equalization methods that are based on Bahl´s (1974) MAP algorithm along with a modified version of such algorithm which does not require knowledge of the noise variance. We use both algorithms to realize soft-output detection in a concatenated equalization and trellis-coded modulation (TCM) decoding based wireless communication system. Further, the effect of using different detection block lengths in the modified MAP algorithm is studied and the use of two-branch equal-gain combining and selection diversity is also considered. Finally, we compare the performance of the MAP algorithm based equalization with our previously proposed equalization scheme which combines decision feedback equalization (DFE) and TCM
Keywords :
Kalman filters; Viterbi decoding; cellular radio; decision feedback equalisers; diversity reception; filtering theory; land mobile radio; maximum likelihood detection; trellis coded modulation; DFE; MAP algorithm; TCM; Viterbi decoder; cellular mobile communications; channel estimation; decision feedback equalization; decoding; detection block lengths; modified MAP algorithm; noise variance; performance; selection diversity; soft-output equalization methods; square root Kalman filtering algorithm; trellis-coded modulation; two-branch equal-gain combining; wireless communications; Channel estimation; Concatenated codes; Decision feedback equalizers; Delay effects; Diversity reception; Intersymbol interference; Maximum likelihood decoding; Maximum likelihood estimation; Mobile communication; Wireless communication;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 1997. Waves of the Year 2000. PIMRC '97., The 8th IEEE International Symposium on
Conference_Location :
Helsinki
Print_ISBN :
0-7803-3871-5
DOI :
10.1109/PIMRC.1997.630917