Abstract
Distributed multiple-input multiple-output (MIMO) radars can use multiple transmitters and receivers simultaneously to detect targets.In order to maximize the probability of target detection,it is necessary to allocate the available transmit power resources suitably. The optimal allocation requires calculating the probability of detection, which is a computationally complex task, so using the exact distribution is very difficult in a dynamic scenario.In order to alleviate this problem,we propose an approximate distribution that is computationally simpler. This approximation is compared with the exact distribution as well as other cost functions that depend on the distribution of the test statistic, including the Kullback-Leibler divergence. It is demonstrated that the approximate distribution works well in the power allocation problem for MIMO radar target detection.
Original language | English |
---|---|
Title of host publication | 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018 |
Publisher | IEEE |
Pages | 282-286 |
Number of pages | 5 |
ISBN (Electronic) | 978-1-5386-4752-3 |
ISBN (Print) | 978-1-5386-4753-0 |
DOIs | |
Publication status | Published - 2018 |
Event | 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2018 - Sheffield, United Kingdom Duration: 8 Jul 2018 → 11 Jul 2018 Conference number: 10 |
Conference
Conference | 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2018 |
---|---|
Country/Territory | United Kingdom |
City | Sheffield |
Period | 8/07/18 → 11/07/18 |
Keywords
- MIMO radar
- Optimization
- Power allocation
- Target detection