1999
DOI: 10.1109/78.747786
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A maximum likelihood digital receiver using coordinate ascent and the discrete wavelet transform

Abstract: Abstract-In this paper, a maximum likelihood (ML) method is presented for joint estimation of amplitude, phase, time delay, and data symbols in a single-user direct-sequence spreadspectrum communication system. Since maximization of the likelihood function is analytically intractable, a novel coordinate ascent algorithm is used to obtain sequential updates of the data symbols and all unknown nuisance parameters. The novelty of the algorithm is due to the use of a multiresolution expansion of the received signa… Show more

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Cited by 17 publications
(21 citation statements)
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“…Solving the dual optimization problem and using the resulting solution for heuristics involves a high level of computational complexity, making this approach ill-suited to an adaptive solution. Therefore, we describe the single coordinate ascent algorithm [7] as an adaptive solution. Simulation results show that both the SLM settings generated by the computationally intensive heuristics and by single coordinate ascent very nearly achieve the performance upper bound.…”
Section: Ook Modulatormentioning
confidence: 99%
See 1 more Smart Citation
“…Solving the dual optimization problem and using the resulting solution for heuristics involves a high level of computational complexity, making this approach ill-suited to an adaptive solution. Therefore, we describe the single coordinate ascent algorithm [7] as an adaptive solution. Simulation results show that both the SLM settings generated by the computationally intensive heuristics and by single coordinate ascent very nearly achieve the performance upper bound.…”
Section: Ook Modulatormentioning
confidence: 99%
“…One of the simplest optimization algorithms (both in terms of computational complexity and hardware implementation) is single coordinate ascent (SCA) [7]. At each step of the SCA algorithm, all of the variables in the problem are fixed except for one.…”
Section: B Single Coordinate Ascentmentioning
confidence: 99%
“…(31) it is necessary to convert (31) to a real-valued SDP following the standard formulation in (23). Let Re and Im define the real and imaginary parts of .…”
Section: B Interior-point Algorithm For Sdrmentioning
confidence: 99%
“…A review on these early proposed classes of detector can be found in [4]. A tree search method [5] and a coordinate descent algorithm [6] have been proposed to perform an incomplete search for a solution to the problem (1) with limited complexity, however, the performances of these methods strongly depend on the initialization. In [3,7], a detection strategy based on a semidefinite relaxation of the CDMA maximum likelihood problem is investigated.…”
Section: Introductionmentioning
confidence: 99%