Name
Abstract | ||
|---|---|---|
Traditional bearing estimation techniques perform Nyquist-rate sampling of the received sensor array signals and as a result they require high storage and transmission bandwidth resources. Compressed sensing (CS) theory provides a new paradigm for simultaneously sensing and compressing a signal using a small subset of random incoherent projection coefficients, enabling a potentially significant reduction in the sampling and computation costs. In this paper, we develop a Bayesian CS (BCS) approach for estimating target bearings based on multiple noisy CS measurement vectors, where each vector results by projecting the received source signal on distinct over-complete dictionaries. In addition, the prior belief that the vector of projection coefficients should be sparse is enforced by fitting directly the prior probability distribution with a Gaussian Scale Mixture (GSM) model. The experimental results show that our proposed method, when compared with norm-based constrained optimization CS algorithms, as well as with single-measurement BCS methods, improves the reconstruction performance in terms of the detection error, while resulting in an increased sparsity. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICASSP.2010.5496269 | ICASSP |
Keywords | Field | DocType |
Gaussian processes,direction-of-arrival estimation,probability,Bayesian CS approach,DOA estimation,Gaussian scale mixture model,Nyquist-rate sampling,bearing estimation techniques,compressed sensing theory,multiple-measurement Bayesian compressed sensing,probability distribution,received sensor array signals,target bearings estimation | Pattern recognition,Computer science,Sensor array,Probability distribution,Artificial intelligence,Sampling (statistics),Gaussian process,Covariance matrix,Prior probability,Sparse matrix,Compressed sensing | Conference |
ISSN | Citations | PageRank |
1520-6149 | 0 | 0.34 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| George Tzagkarakis | 1 | 139 | 17.94 |
| Dimitrios Milioris | 2 | 77 | 6.93 |
| P. Tsakalides | 3 | 954 | 120.69 |