Joint channel estimation and decoding of space-time trellis codes

被引：1
|
作者：
Zhang, JQ [1 ]
Djuric, PM [1 ]
机构：
[1] SUNY Stony Brook, Dept Elect & Comp Engn, Stony Brook, NY 11794 USA
来源：
2001 IEEE WORKSHOP ON STATISTICAL SIGNAL PROCESSING PROCEEDINGS | 2001年
关键词：
D O I：
10.1109/SSP.2001.955348
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we discuss the application of sequential importance sampling (SIS) to joint channel estimation and decoding of space-time trellis codes (STTCs). First, we present the dynamic state space model (DSSM) of the system, and then we briefly review the theory of SIS. A special case of SIS, a combination of SIS and Kalman filtering, is shown through simulations to be a viable approach to the problem which addresses time-varying flat-fading environments. Our solution is admissible if phase ambiguity can be avoided. We show that the phase ambiguity can be reduced by carefully designing the STTC modulation constellations.
引用
收藏
页码：559 / 562
页数：4
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