首页    期刊浏览 2024年09月15日 星期日
登录注册

文章基本信息

  • 标题:PROBABILITY DETECTION FOR STATISTICAL MIMO RADAR: ALGORITHMS AND THEIR ANALYSIS
  • 本地全文:下载
  • 作者:SAMIRAN PRAMANIK ; NIRMALENDU BIKAS SINHA ; CHADAN KUMAR SARKAR
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2013
  • 卷号:47
  • 期号:3
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Multiple-input�multiple-output (MIMO) radar is an emerging technology that has significant potential for advancing the state-of-the-art of modern radar. This is a multiple antenna radar system capable of transmitting arbitrary waveform from each antenna element. Like MIMO communications, MIMO radar offers a new paradigm for signal processing research. It�s significant potentials for fading mitigation, resolution enhancement, and interference and jamming suppression, which can result in significantly improved target detection, parameter estimation, target tracking and recognition performance. To identify a target in statistical MIMO radar system multiple antennas, not closely placed, for transmission and reception is used. This paper introduces the signal processing issued in statistical MIMO radar and coherent MIMO radar for improved target detection and recognition performance. The fundamental difference between statistical MIMO and other radar array systems is that the latter seek to maximize the coherent processing gain, while the former capitalizes on the diversity of target scattering to improve radar performance. Compared to coherent MIMO radar, statistical MIMO radar can offer better parameter identification , higher resolution which allows for much flexibility for transmit beam-pattern design and waveform optimization. This paper focuses on the application of the target spatial diversity to improve detection performance. The optimal detector in the Neyman-Pearson sense is developed and analyzed for the statistical MIMO radar in case of stationary target. The performance improvement achieved by the use of angular diversity in statistical MIMO radar is investigated. The results show that at high and low SNR values statistical MIMO radar provides great improvements of target detection performance over coherent MIMO radar. Finally, a number of numerical examples demonstrated for the effectiveness of the proposed approaches. Therefore, statistical MIMO radar can be applied to enhance radar resolution by allowing the measurement of one scatter at a time.
  • 关键词:MIMO; Statistical; Coherent; Radar; Probability Detection; SNR
国家哲学社会科学文献中心版权所有