Name
Title | ||
|---|---|---|
SQR: Successive QCQP refinement for MIMO radar waveform design under practical constraints |
Abstract | ||
|---|---|---|
We address the problem of designing a waveform for Multiple-Input Multiple-Output (MIMO) radar under important practical constraints, namely the constant modulus and the waveform similarity constraints. Incorporating these constraints in an analytically tractable manner continues to be longstanding open challenge. This is because the optimization problem that results from Signal to Interference plus Noise Ratio (SINR) maximization subject to these constraints is a hard non-convex problem. We develop a new analytical approach that involves solving a sequence of convex Quadratic Constrained Quadratic Programming (QCQP) problems, which we prove converges to a sub-optimal solution. We call the method Successive QCQP Refinement (SQR). We evaluate SQR against state of the art in its SINR performance for a practical scenario and show that it outperforms existing methods without incurring a significant computational burden. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ACSSC.2015.7421087 | 2015 49th Asilomar Conference on Signals, Systems and Computers |
Keywords | Field | DocType |
MIMO radar,waveform design,constant modulus,similarity constraint,successive algorithm,phase coding,SQR | Radar,Mathematical optimization,Computer science,Waveform,Quadratic equation,MIMO,Regular polygon,Electronic engineering,Signal-to-interference-plus-noise ratio,Optimization problem,Maximization | Conference |
Citations | PageRank | References |
3 | 0.43 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Omar Aldayel | 1 | 14 | 0.92 |
| Vishal Monga | 2 | 679 | 57.73 |
| Muralidhar Rangaswamy | 3 | 465 | 49.97 |