Abstract
We optimize the jamming signal for disrupting the operation of a MIMO radar system in order to understand the threat jamming poses to such systems. The jamming signal optimization is formulated as a minimax problem minimizing the maximum SINR that the receivers can achieve, resulting in a semidefinite program for a Toeplitz jamming covariance matrix or a second-order cone program for a circulant approximation. In the simplest case of optimizing the average SINR of a single receiver, a waterfilling-type solution is obtained. Numerical studies suggest that distributed radar systems with waveform agility and mismatched filtering capabilities are resilient against jamming.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 24th European Signal Processing Conference, EUSIPCO 2016 |
| Publisher | IEEE |
| Pages | 2220-2224 |
| Number of pages | 5 |
| Volume | 2016-November |
| ISBN (Electronic) | 9780992862657 |
| DOIs | |
| Publication status | Published - 28 Nov 2016 |
| MoE publication type | A4 Conference publication |
| Event | European Signal Processing Conference - Budapest, Hungary Duration: 28 Aug 2016 → 2 Sept 2016 Conference number: 24 http://www.eusipco2016.org/ |
Publication series
| Name | European Signal Processing Conference |
|---|---|
| Publisher | Institute of Electrical and Electronics Engineers, Inc. |
| ISSN (Print) | 2219-5491 |
| ISSN (Electronic) | 2076-1465 |
Conference
| Conference | European Signal Processing Conference |
|---|---|
| Abbreviated title | EUSIPCO |
| Country/Territory | Hungary |
| City | Budapest |
| Period | 28/08/2016 → 02/09/2016 |
| Internet address |
Keywords
- Anti-jamming
- Convex optimization
- Interference mitigation
- Jamming
- MIMO radar
- Mismatched filtering
- Waterfilling