Name
Abstract | ||
|---|---|---|
In this paper we address the problem of low-complexity coherent detection of continuous phase modulation (CPM) signals. We exploit the per-survivor-process technique to build a reduced-state trellis and apply a Viterbi algorithm with modified metrics. In the case where the modulation index can vary, we propose a maximum-likelihood (ML) estimation of the modulation index and compare the performance of the resulting structure with a non-coherent receiver structure of the state of the art. Simulations on an additive white Gaussian noise (AWGN) channel both for binary and M-ary CPM show the efficiency of the proposed receiver. |
Year | Venue | Keywords |
|---|---|---|
2014 | EUSIPCO | CPM receiver,noncoherent receiver structure,AWGN channels,additive white Gaussian noise channel,binary CPM,low-complexity coherent detection,maximum likelihood estimation,Viterbi decoding,modulation index estimation,maximum-likelihood estimation,AWGN channel,CPM,continuous phase modulation signals,modulation index mismatch,reduced-complexity,CPM signals,reduced-state trellis,radio receivers,Viterbi algorithm,signal detection,continuous phase modulation,per-survivor-process technique,persurvivor processing,M-ary CPM |
Field | DocType | ISSN |
Phase modulation,Modulation index,Communication channel,Algorithm,Continuous phase modulation,Real-time computing,Viterbi decoder,Additive white Gaussian noise,Mathematics,Viterbi algorithm,Binary number | Conference | 2076-1465 |
Citations | PageRank | References |
3 | 0.42 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Malek Messai | 1 | 20 | 5.01 |
| Frédéric Guilloud | 2 | 34 | 8.66 |
| Karine Amis | 3 | 75 | 17.77 |