This paper develops a low-complexity suboptimal non-coherent receiver for multi-level energy-based coded modulation system. Inspired by the turbo processing principle, we incorporate fundamentals of bit-interleaved with iterative decoding (BICM-ID) into proposed design. The resulting system is called (BICEM-ID) and its error performance analytically studied. Specifically, derive upper bounds on...

Stopping set properties determine the iterative decoding performance of any linear block code on the Binary Erasure Channel (BEC). Furthermore, there is a common conception that they are crucial factors on other channels, like the Binary Symmetric Channel (BSC), as well. In order to investigate whether this is true indeed, we study stopping set properties and iterative decoding performance on t...

This contribution deals with a robust decoding approach of source codec parameters called Softbit-Source Decoding. It can be considered as an error concealment technique which estimates codec parameters at the receiver utilizing residual redundancy remaining after source coding and channel decoder reliability information. In this paper we will apply the TURBO-principle to SoftbitSource Decoding...

This paper provides some universal information-theoretic bounds related to the degree distributions and the average cardinality of the fundamental system of cycles of low-density parity-check (LDPC) ensembles. The transmission of these ensembles is assumed to take place over an arbitrary memoryless binary-input output-symmetric (MBIOS) channel, and the bounds are expressed in terms of the gap b...

We focus on a trellis-based decoding technique for variable length codes (VLCs) which does not require any additional side information besides the number of bits in the coded sequence. A bit-level soft-in/soft-out decoder based on this trellis is used as an outer component decoder in an iterative decoding scheme for a serially concatenated source/channel coding system. In contrast to previous a...

The performance of low-density parity-check (LDPC) codes serially concatenated with generalized partial response channels is investigated. Various soft-input/soft-output detection schemes suitable for use in iterative detection/decoding systems are described. A low-complexity near-optimal detection algorithm that incorporates soft-input reliability information and generates soft-output reliabil...

Coherent detection of received signals is required for turbo decoding. In this paper, we combine iterative channel estimation with Turbo decoding. Two combinations are considered in this paper. One is called outer-turbo channel estimation (OTCE), in which iterative channel estimation is carried out before turbo decoding. The other is called inner-turbo channel estimation (ITCE), in which channe...

By tracing the flow of computations in the iterative decoders for low density parity check codes, we are able to formulate a signal-space view for a finite number of iterations in a finite-length code. On a Gaussian channel, maximum a posteriori codeword decoding (or “maximum likelihood decoding”) decodes to the codeword signal that is closest to the channel output in Euclidean distance. In con...

Jan Bajcsy and Hisashi Kobayashi Department of Electrical Engineering Princeton University Princeton, NJ 08544 e-mail: [email protected], [email protected] Fax: (609) 258-3745, Tel: (609) 258-1984 We study error correcting codes, which are constructed by using “permutation” and “iterative decoding” in conjunction with “concatenation”. These codes include “Concatenated codes,” “prod...