The effectiveness of the recently proposed adaptive Maximum A Posteriori (MAP) receiver in Cusani and Mattila is verified for digital HF links between mobile and/or fixed units. Following Cusani and Mattila, a suitable MAP algorithm is employed to compute Symbol-by-Symbol (SBS) the A Posteriori Probabilities (APP’s) of the channel state; from these, the detected data stream is obtained. The sam...

Decision feedback sequence estimation (DFSE) is a reduced state alternative to maximum likelihood sequence estimation (MLSE). One of the most popular technique to improve the performance of DFSE is to process the received signal by a linear pre-filter prior to DFSE. This technique is referred to as combinedlinear DFSE (CLDFSE). In this paper, we derive a tight upper bound on the error performan...

This paper develops an MLSE diversity receiver for the timeand frequency-selective channel corrupted by additive Gaussian noise, when linear constellations are employed. The paper extends Ungerboeck’s derivation of the Extended MLSE receiver for the purely frequency-selective channel to the more general channel with diversity. The new receiver structure and metric assume a known channel. The ma...

The performance of channel-estimation-based maximum likelihood sequence estimator (MLSE) depends on the accuracy of the channel estimate. Conventional least-squares channel estimators preset a fixed length for the channel. For wireless communications, however, the actual length of the channel is environment-dependent and in general unknown. It is therefore desirable to modify conventional chann...

The performance of maximum-likelihood sequence estimation (MLSE) is bounded (and often approximated well) by the matched "lter bound (MFB). In this paper, we "rst show how the linearized GMSK modulation of GSM can be reformulated to have a real symbol constellation, leading to a two-channel aspect due to the in-phase (I) and in-quadrature (Q) components of the received signal. More channels can...

In this paper, we study the ability of transmit diversity to provide diversity benefit to a receiver in a Rayleigh fading environment. With transmit diversity, multiple antennas transmit delayed versions of a signal to create frequency-selective fading at a single antenna at the receiver, which uses equalization to obtain diversity gain against fading. We use Monte Carlo simulation to study tra...

Felsenstein (1973, 1978, 1981) and other workers have advocated the method of maximum likelihood (ML) for estimating phylogenetic trees from discrete character data, particularly nucleotide sequences, in part because it is thought to be consistent, i.e., it will converge on the true tree as more and more data are accumulated. In contrast, the method of maximum parsimony is known to converge, un...

Abstract— Per-Survivor Processing (PSP) provides a general framework for the approximation of Maximum Likelihood Sequence Estimation (MLSE) algorithms whenever the presence of unknown quantities prevents the precise use of the classical Viterbi algorithm. This principle stems from the idea that data-aided estimation of unknown parameters may be embedded into the structure of the Viterbi algorit...

In [1], an MLSE receiver structure was derived for unknown, time-varying, frequencyselective, Rayleigh fading channels and uncorrelated diversity sources. In this letter, the receiver design is extended to the case of correlated diversity sources. Correlated diversity sources typically arise with space diversity, where constraints on antenna volume require that diversity antennae be placed too ...

A unified maximum-likelihood sequence estimation (MLSE) detection technique is proposed for TDMA digital cellular radio. In this technique, the probabilistic likelihood metrics are calculated from the joint conditional probabilities of all received sample sequences including complex-valued, oversampled, and/or multichannel diversity sequences provided that the sample statistics are independent....