Name
Abstract | ||
|---|---|---|
In this paper, we consider the problem of multipath channel estima- tion from data observed at the receiver matched filter output. An approach based on the MPM algorithm is proposed in the literature assuming white noise at the output of the matched filter. We present an improvement to this method that takes into account the noise cor- relation involved by the matched filtering. Results obtained under both the white-noise and the correlated noise hypotheses are com- pared, showing that the latter approach performs significantly better in terms of false-alarm and paths detection probabilities, as well as in terms of mean quadratic error on the estimation of amplitudes and delays. Simulations examples are proposed. |
Year | Venue | Keywords |
|---|---|---|
2005 | EUSIPCO | channel estimation,correlation methods,filtering theory,matched filters,multipath channels,probability,signal detection,statistical testing,white noise,mpm algorithm,amplitude estimation,correlated noise hypothesis,delay estimation,false-alarm probabilities,matched filtering,mean quadratic error,multipath channel estimation problem,paths detection probabilities,receiver matched filter output,white noise hypothesis |
Field | DocType | ISBN |
Noise measurement,Signal-to-noise ratio,Salt-and-pepper noise,Algorithm,Filter (signal processing),Quadratic equation,White noise,Matched filter,Gaussian noise,Mathematics | Conference | 978-160-4238-21-1 |
Citations | PageRank | References |
2 | 0.44 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Olivier Rabaste | 1 | 8 | 1.97 |
| Thierry Chonavel | 2 | 248 | 33.28 |