iteration, extrinsic information is extracted from detection and decoding stages and is then used as a priori information in the next iteration, just as in Turbo decoding. Given the multipath CDMA channel model, a direct implementation of a sliding-window SISO multiuser detector has a prohibitive

We track the density of extrinsic information in iterative turbo decoders by actual

. Applications to the combined detection and decoding of differential or convolutional codes are considered. Further applications to noncoherent iterative decoding of turbo codes and serially concatenated interleaved codes are also considered. The proposed noncoherent detection schemes exhibit moderate

Abstract. In this paper we present a new method to decode convolutional codes. The method is based on the Turbo principle which was originally proposed to decode parallel concatenated convolutional codes. It becomes possible because of a reinterpretation of the encoder structure. The newly

prior to transmission over one or more of the channels. As a receiver, we introduce a low complexity iterative equalization algorithm, inspired by iterative decoders for turbo-codes, which we call linear iterative turboequalization (LITE). The LITE algorithm contains one minimum mean square error linear

Abstract: This paper provides a geometrical interpretation of the decoding of bit-interleaved coded modulation (BICM). Compared to our previous work reported in [9], it provides a complete interpretation of the iterative decoding algorithm and identifies some additive projections that are performed

Very low bit error rate has become an important constraint in high performance communication systems that operate at very low signal to noise ratios: due to their impressive coding gains, turbo codes have been proposed for several applications, although they suffer a large decoding delay

This paper discusses an iterative multiuser receiver for codedivision multiple access (CDMA) with forward error control coding. The receiver is derived from the maximum aposteriori (MAP) criterion for the joint received signal. A major drawback of the MAP receiver is its heavy computational cost

Very low bit error rate has become an important constraint in high performance communication systems that operate at very low signal to noise ratios: due to their impressive coding gains, turbo codes have been proposed for several applications, although they suffer a large decoding delay

, it is shown here that the so-called turbo principle can be used also for joint rate and data detection, and indeed an iterative (turbo) procedure is derived wherein the single-user decoders, and the data-rate detectors for each user exchange information in order to achieve lower and lower detection error