Joint channel estimation and decoding of space-time trellis codes

Jianqiu Zhang; Petar M. Djurić

Joint channel estimation and decoding of space-time trellis codes

Jianqiu Zhang
, Petar M. Djurić

Electrical Engineering

Stony Brook University

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Pages	559-562
Number of pages	4
State	Published - 2001
Event	2001 IEEE Workshop on Statitical Signal Processing Proceedings - Singapore, Singapore Duration: Aug 6 2001 → Aug 8 2001

Conference

Conference	2001 IEEE Workshop on Statitical Signal Processing Proceedings
Country/Territory	Singapore
City	Singapore
Period	08/6/01 → 08/8/01

Cite this

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title = "Joint channel estimation and decoding of space-time trellis codes",

abstract = "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.",

author = "Jianqiu Zhang and Djuri{\'c}, \{Petar M.\}",

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T1 - Joint channel estimation and decoding of space-time trellis codes

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AU - Djurić, Petar M.

PY - 2001

Y1 - 2001

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0035556220

M3 - Paper

AN - SCOPUS:0035556220

SP - 559

EP - 562

T2 - 2001 IEEE Workshop on Statitical Signal Processing Proceedings

Y2 - 6 August 2001 through 8 August 2001

ER -

Joint channel estimation and decoding of space-time trellis codes

Abstract

Conference

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