Type of Document	Master's Thesis
Author	Mohammad, Maruf H.
Author's Email Address	maruf@vt.edu
URN	etd-12122002-150624
Title	Blind Acquisition of Short Burst with Per-Survivor Processing (PSP)
Degree	Master of Science
Department	Electrical and Computer Engineering
Advisory Committee	Advisor Name Title Tranter, William H. Committee Chair Reed, Jeffrey Hugh Committee Member Woerner, Brain D. Committee Member
Keywords	Maximum likelihood (ML) detection Blind channel estimation DDFSE Per-Survivor Processing (PSP) Viterbi Algorithm M-algorithm.
Date of Defense	2002-11-26
Availability	restricted
Abstract Blind Acquisition of Short Burst with Per-Survivor Processing (PSP) Maruf Mohammad (Abstract) This thesis investigates the use of Maximum Likelihood Sequence Estimation (MLSE) in the presence of unknown channel parameters. MLSE is a fundamental problem that is closely related to many modern research areas like Space-Time Coding, Overloaded Array Processing and Multi-User Detection. Per-Survivor Processing (PSP) is a technique for approximating MLSE for unknown channels by embedding channel estimation into the structure of the Viterbi Algorithm (VA). In the case of successful acquisition, the convergence rate of PSP is comparable to that of the pilot-aided RLS algorithm. However, the performance of PSP degrades when certain sequences are transmitted. In this thesis, the blind acquisition characteristics of PSP are discussed. The problematic sequences for any joint ML data and channel estimator are discussed from an analytic perspective. Based on the theory of indistinguishable sequences, modifications to conventional PSP are suggested that improve its acquisition performance significantly. The effect of tree search and list-based algorithms on PSP is also discussed. Proposed improvement techniques are compared for different channels. For higher order channels, complexity issues dominate the choice of algorithms, so PSP with state reduction techniques is considered. Typical misacquisition conditions, transients, and initialization issues are reported.
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