Name
Title | ||
|---|---|---|
Detection and estimation for multiple targets with two omnidirectional sensors in the presence of false measurements |
Abstract | ||
|---|---|---|
A track-before-detect methodology for target detection and estimation in the presence of false measurements is presented that uses two omnidirectional passive sensors. The estimation technique is based on maximum-likelihood estimation. The measurement model is nonlinear and includes false alarms. The algorithm is first developed for a single target and then extended to multiple targets. For multiple targets, unresolved measurements are also considered to provide a realistic analysis of targets crossing in the measurement space. The Cramer-Rao lower bound is derived for the target parameter estimation in the presence of false measurement. A detection mechanism that can validate the existence of a target corresponding to the estimated track is formulated. For a single target, it is shown that only the global maximum leads to the acceptance of the target hypothesis. The test for multiple targets is obtained by formulating a multiple-hypotheses problem. The theoretical performance predictions are validated via Monte Carlo simulations. The effect on the performance of the density of false measurements is illustrated in examples. The highest false-measurement density for which this technique works corresponds to SNR=2 dB |
Year | DOI | Venue |
|---|---|---|
1990 | 10.1109/29.56019 | Acoustics, Speech and Signal Processing, IEEE Transactions |
Keywords | Field | DocType |
Monte Carlo methods,clutter,parameter estimation,signal detection,sonar,tracking,2 dB,Cramer-Rao lower bound,Monte Carlo simulations,SNR,false alarms,false measurements,maximum-likelihood estimation,multiple targets,nonlinear measurement model,passive sensors,sonar technique,target detection,target parameter estimation,track-before-detect methodology,two omnidirectional sensors,unresolved measurements | Cramér–Rao bound,Monte Carlo method,Background noise,Detection theory,Noise measurement,Control theory,Clutter,Algorithm,Speech recognition,Estimation theory,Constant false alarm rate,Mathematics | Journal |
Volume | Issue | ISSN |
38 | 5 | 0096-3518 |
Citations | PageRank | References |
17 | 2.32 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shertukde, H.M. | 1 | 17 | 2.32 |
| Y. Bar-Shalom | 2 | 357 | 80.17 |