Maximum Likelihood Sequence Detection - spsc

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Detection • Estimation transmitted signal is contiuousvalued • Detection transmitted signal is discretevalued • Model for detection: SPSC 10
ML Detection of a Single Symbol • Special case of MAP detector if p ( ) A â = const p AY | ( â| y) = p ( y| â) p ( â) YA | p Y ( y) A • ML chooses âε Ω A • To maximize likelihood • Measure of the quality p | ( y| â) YA Pr[ error] = Pr[ â ≠ a] SPSC 11
Page 1 and 2: Maximum Likelihood Sequence Detecti
Page 3 and 4: Channel Model SPSC 3
Page 5 and 6: Matched Filter as Receiver Front En
Page 7 and 8: Whitening of the Matched Filter (1)
Page 9: Detection • ML Detection of a Sin
Page 13 and 14: ML Detection With Intersymbol Inter
Page 15 and 16: ML Detection With Intersymbol Inter
Page 17 and 18: Sequence Detection • Markov Chain
Page 19 and 20: Markov Chains (2) • Trellis diagr
Page 21 and 22: • ISI Model Markov Chain Signal G
Page 23 and 24: The Viterbi Algorithm (1) • A. Vi
Page 25 and 26: The Viterbi Algorithm (3) • Survi
Page 27 and 28: The Viterbi Algorithm Example (2) S
Page 29 and 30: Error Probability Calculation • E
Page 31 and 32: Detection Error Pr[detection error]
Page 33 and 34: Upper Bound of Detection Error (2)
Page 35 and 36: Lower Bound of Detection Error (2)
Page 37: Symbol Error Probability (2) • On

Maximum Likelihood Sequence Detection - spsc

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