2008
DOI: 10.1093/ietcom/e91-b.12.4024
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Adaptive PSP-MLSE Using State-Space Based RLS for Multi-Path Fading Channels

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Cited by 2 publications
(2 citation statements)
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“…The TD-MLSE receiver employing VA with 16 states (M = 4 and L = 3) was considered and for the duration of back-tracing, both D = 0 and D = 2T were used. For both the TD-MLSE and the proposed scheme, the channel parameters were estimated by using the Recursive Least Squares (RLS) algorithm with a forgetting factor of 0.65 [6].…”
Section: Simulation Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The TD-MLSE receiver employing VA with 16 states (M = 4 and L = 3) was considered and for the duration of back-tracing, both D = 0 and D = 2T were used. For both the TD-MLSE and the proposed scheme, the channel parameters were estimated by using the Recursive Least Squares (RLS) algorithm with a forgetting factor of 0.65 [6].…”
Section: Simulation Resultsmentioning
confidence: 99%
“…As expected, the TD-MLSE with D = 2T provides a significant BER improvement over the TD-MSLE with D = 0. In the 2-path channel, the performance of the proposed scheme approaches that of the TD-MLSE with D = 2T as E b /N o increases: when a raw BER is chosen as a performance measure in multi-path fading environments, E b /N o around (or over) 20dB is a reasonable consideration [1]- [6]. In the 3-path channel, the proposed scheme reveals a somewhat large performance degradation, compared to the TD-MLSE with D = 2T .…”
Section: Simulation Resultsmentioning
confidence: 99%