An adaptive hidden Markov model approach to FM and M-ary DPSK demodulation in noisy fading channels

Signal Processing

Volumn 47, Issue 1, 1995, Pages 71-84

  Collings, Iain B ^a   Moore, John B ^b  

^a Technology Park   (Australia)

^b AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

Digital M ary DPSK; Frequency modulation; Hidden Markov models; Kalman filtering; Rayleigh fading

Indexed keywords

DIFFERENTIAL PHASE SHIFT KEYING (DPSK); EXTENDED KALMAN FILTER; HIDDEN MARKOV MODEL;

ALGORITHMS; COMMUNICATION CHANNELS (INFORMATION THEORY); FREQUENCY MODULATION; KALMAN FILTERING; MARKOV PROCESSES; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PHASE SHIFT KEYING; RANDOM PROCESSES; SPURIOUS SIGNAL NOISE; STATE SPACE METHODS; WHITE NOISE;

SIGNAL PROCESSING;

EID: 0029405676     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/0165-1684(95)00100-X     Document Type: Article

References (13)

1. Adaptive processing techniques based on hidden Markov models for characterising very small channel currents buried in noise and deterministic interferences
2. On-line identification of hidden Markov models via recursive prediction error techniques
3. An HMM approach to adaptive demodulation of QAM signals in fading channels
4. New 16-QAM trellis codes for fading channels
5. A systematic approach to carrier recovery and detection of digitally phase modulated signals on fading channels
6. The indoor radio propagation channel
7. Maximum likelihood sequence estimation of CPM signals transmitted over Rayleigh flat-fading channels
8. Computer models for fading channels with applications to digital transmission
9. Performance of adaptive matched filter receivers over fading multipath channels
10. A tutorial on hidden Markov models and selected applications in speech recognition