Name
Title | ||
|---|---|---|
Radar code design with a Peak to average power Ratio constraint: A randomized approximate approach |
Abstract | ||
|---|---|---|
This paper considers the problem of radar waveform design in the presence of colored Gaussian disturbance under a Peak to Average power Ratio (PAR) and an energy constraint. Firstly, we focus on the selection of the radar signal optimizing the Signal to Noise Power Ratio (SNR) for a given target Doppler frequency (Algorithm 1). Then, we devise its phase quantized version (Algorithm 2), which forces the waveform phase to lie within a finite alphabet. Both the problems are formulated in terms of NP-hard non-convex quadratic optimization programs; in order to solve them, we resort to Semidefinite Programming (SDP) relaxation and randomization techniques, providing provable-quality sub-optimal solutions with a polynomial time computational complexity. Finally, we analyze the performance in terms of detection capability and robustness with respect to Doppler shifts. |
Year | Venue | Field |
|---|---|---|
2011 | European Signal Processing Conference | Radar,Approximation algorithm,Mathematical optimization,Algorithm design,Waveform,Algorithm,Quadratic programming,Time complexity,Semidefinite programming,Mathematics,Space-time adaptive processing |
DocType | ISSN | Citations |
Conference | 2076-1465 | 0 |
PageRank | References | Authors |
0.34 | 12 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio Maio | 1 | 421 | 33.27 |
| Yongwei Huang | 2 | 814 | 50.83 |
| Marco Piezzo | 3 | 155 | 8.84 |
| Shuzhong Zhang | 4 | 2808 | 181.66 |
| Alfonso Farina | 5 | 747 | 85.66 |