Classification waveform optimization for MIMO radar
- Authors
- Kim, Hyoung-soo; Goodman, Nathan A.; Bae, Junhyeong; Lee, Chankil
- Issue Date
- Jun-2017
- Publisher
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
- Keywords
- radar waveform; MIMO; target classification; mutual information; extended target
- Citation
- IEICE COMMUNICATIONS EXPRESS, v.6, no.8, pp 501 - 506
- Pages
- 6
- Indexed
- ESCI
- Journal Title
- IEICE COMMUNICATIONS EXPRESS
- Volume
- 6
- Number
- 8
- Start Page
- 501
- End Page
- 506
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/12044
- DOI
- 10.1587/comex.2017XBL0080
- ISSN
- 2187-0136
2187-0136
- Abstract
- The waveform algorithm for active target classification or identification based on spectral variance has been studied in various pieces of literature. The algorithm was extended for widely-separated MIMO Radar system to take advantage of spatial diversity gain by Bae et al. However, the MIMO waveform can be improved further by considering multiple objective functions from the multiple target paths. In this letter, we optimize the MIMO waveform for target identification system by maximizing the multiple objective functions. We show simulation results to compare the proposed algorithm to other MIMO waveform design methods.
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