Joint Multiple Symbol Differential Detection and Channel Decoding for Noncoherent UWB Impulse Radio by Belief Propagation
Abstract: This paper proposes a belief propagation (BP) message passing algorithm-based algorithm joint multiple symbol differential detection (MSDD) and channel decoding scheme for noncoherent differential ultra ultra-wideband wideband impulse radio (UWB (UWB-IR) systems. MSDD is an effective m means eans to improving the performance of noncoherent differential UWB-IR IR systems. To optimize the overall detection and decoding performance, this paper proposes a novel soft-in soft soft-out out (SISO) MSDD scheme for noncoherent differential UWB-IR. UWB IR. We first propose a new sampling mechanism for the noncoherent auto-correlation auto correlation receiver to sample the received UWB-IR IR signal. The proposed sampling mechanism can exploit the dependences (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 an SISO MSDD scheme, which is easy to integrate with with SISO channel decoding to form a joint MSDD and channel decoding scheme. Performance results of bit error rate simulations and EXIT chart analyses indicate the performance advantages of our scheme over the previous MSDD scheme.