Name
Title | ||
|---|---|---|
Distributed Target Detection in Communication Interference and Noise Using OFDM Radar |
Abstract | ||
|---|---|---|
In this letter, the distributed target detection in a mixture of unknown communication interference and noise using the orthogonal frequency division multiplexing (OFDM) radar is considered. A closed-form detector is not tractable, instead, an efficient expectation maximization-based generalized likelihood ratio test (GLRT) detector is developed. The ideal GLRT detector with the complete knowledge of communication signal is also derived as a contrast. Besides, an information theoretic waveform design method by maximizing Kullback-Leibler divergence is addressed to improve the detection performance, in which the subcarrier power ratio is used as a constraint. Simulations show the superiority of the addressed detectors and method. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/LCOMM.2020.3026346 | IEEE Communications Letters |
Keywords | DocType | Volume |
OFDM radar,distributed target,GLRT,communication interference,waveform design | Journal | 25 |
Issue | ISSN | Citations |
2 | 1089-7798 | 1 |
PageRank | References | Authors |
0.35 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhen Du | 1 | 1 | 0.69 |
| Zenghui Zhang | 2 | 50 | 10.29 |
| Wenxian Yu | 3 | 329 | 43.89 |