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Computer Science > Information Theory

arXiv:1504.01100 (cs)
[Submitted on 5 Apr 2015 (v1), last revised 26 May 2015 (this version, v2)]

Title:Joint Multiple Symbol Differential Detection and Channel Decoding for Noncoherent UWB Impulse Radio by Belief Propagation

Authors:Taotao Wang, Tiejun Lv, Hui Gao, Shengli Zhang
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Abstract:This paper proposes a belief propagation (BP) message passing algorithm based joint multiple symbol differential detection (MSDD) and channel decoding scheme for noncoherent differential ultra-wideband impulse radio (UWB-IR) systems. MSDD is an effective means to improve the performance of noncoherent differential UWB-IR systems. To optimize the overall detection and decoding performance, in this paper, we propose a novel soft-in soft-out (SISO) MSDD scheme and its integration with SISO channel decoding for noncoherent differential UWB-IR. we first propose a new auto-correlation receiver (AcR) architecture to sample the received UWB-IR signal. The proposed AcR can exploit the dependencies (imposed by the differential modulation) among data symbols throughout the whole packet. The signal probabilistic model has a hidden Markov chain structure. We use a factor graph to represent this hidden Markov chain. Then, we apply BP message passing algorithm on the factor graph to develop a SISO MSDD scheme, which has better performance than the previous MSDD scheme and is easy to be integrated with SISO channel decoding to form a joint MSDD and channel decoding scheme. Simulation results indicate the performance advantages of our MSDD scheme and joint MSDD and channel decoding scheme.
Subjects: Information Theory (cs.IT)
Cite as: arXiv:1504.01100 [cs.IT]
  (or arXiv:1504.01100v2 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.1504.01100

Submission history

From: Wang Taotao [view email]
[v1] Sun, 5 Apr 2015 09:11:31 UTC (250 KB)
[v2] Tue, 26 May 2015 02:03:14 UTC (479 KB)
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Taotao Wang
Tiejun Lv
Hui Gao
Shengli Zhang
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