Name
Abstract | ||
|---|---|---|
This paper considers the robust waveform design of multiple-input multiple-output (MIMO) radar to enhance targets detection in the presence of signal-dependent interferences assuming the knowledge of steering vectors is imprecise. Specifically, resorting to semidefinite programming (SDP)-related technique, we first maximize the worst-case signal-to-interference-plus-noise ratio (SINR) over uncertain region to optimize waveform covariance matrix forcing a uniform elemental power requirement. Then, based on least square (LS) approach, we devise the waveform accounting for constant modulus and similarity constraints by the obtained waveform covariance matrix using cyclic algorithm (CA). Finally, we assess the effectiveness of the proposed technique through numerical simulations in terms of non-uniform point-like clutter and uniform clutter. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s13634-016-0437-9 | EURASIP J. Adv. Sig. Proc. |
Keywords | Field | DocType |
Robust waveform design, Multiple-input multiple-output (MIMO), Signal-dependent interferences, Signal-to-interference-plus-noise ratio (SINR), Waveform covariance matrix, Constant modulus and similarity constraints | Radar,Least squares,Computer science,Control theory,Clutter,Waveform,MIMO,Covariance matrix,Mimo radar,Semidefinite programming | Journal |
Volume | Issue | ISSN |
2017 | 1 | 1687-6180 |
Citations | PageRank | References |
4 | 0.40 | 17 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xianxiang Yu | 1 | 29 | 11.97 |
| Guolong Cui | 2 | 333 | 36.77 |
| Marco Piezzo | 3 | 155 | 8.84 |
| S. Iommelli | 4 | 46 | 3.58 |
| Lingjiang Kong | 5 | 346 | 38.93 |