Name
Title | ||
|---|---|---|
Adaptive Polarized Waveform Design for Target Tracking Based on Sequential Bayesian Inference |
Abstract | ||
|---|---|---|
In this paper, we develop an adaptive waveform design method for target tracking under a framework of sequential Bayesian inference. We employ polarization diversity to improve the tracking accuracy of a target in the presence of clutter. We use an array of electromagnetic (EM) vector sensors to fully exploit the polarization information of the reflected signal. We apply a sequential Monte Carlo method to track the target parameters, including target position, velocity, and scattering coefficients. This method has the advantage of being able to handle nonlinear and non-Gaussian state and measurement models. The measurements are the output of the sensor array; hence, the information about both the target and its environment is incorporated in the tracking process. We design a new criterion for selecting the optimal waveform one-step ahead based on a recursion of the posterior Cramer-Rao bound. We also derive an algorithm using Monte Carlo integration to compute this criterion and a suboptimal method that reduces the computation cost. Numerical examples demonstrate both the performance of the proposed tracking method and the advantage of the adaptive waveform design scheme. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/TSP.2007.909044 | IEEE Transactions on Signal Processing |
Keywords | DocType | Volume |
Bayes methods,Monte Carlo methods,electromagnetic devices,polarisation,sensor arrays,target tracking,Cramer-Rao bound,Monte Carlo integration,adaptive polarized waveform design,adaptive waveform design,electromagnetic vector sensors,nonGaussian state models,nonlinear state models,optimal waveform,polarization diversity,polarization information,sensor array,sequential Bayesian inference,sequential Monte Carlo method,target tracking,Adaptive design,polarimetric radar,posterior CramÉr-Rao bound,radar tracking,sequential Bayesian filter,waveform design | Journal | 56 |
Issue | ISSN | Citations |
3 | 1053-587X | 28 |
PageRank | References | Authors |
1.80 | 19 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Hurtado | 1 | 89 | 8.59 |
| Tong Zhao | 2 | 28 | 1.80 |
| Nehorai, Arye | 3 | 1934 | 309.00 |