5Multi-objective Waveform Design for Cognitive Radar
An important characteristic of a cognitive radar is the capability to adjust its transmitted waveform to adapt to the radar environment. The adaptation of the transmit waveform requires an effective framework to synthesize waveforms that could provide different trade-offs between a variety of performance objectives. In this paper, phase-coded waveform, whose modulus is constant, is considered to be synthesized to realize a smooth trade-off between maximizing output signalto- noise ratio (SNR) for a particular target and the mutual information (MI) between the received signal and the target response. A new iterative algorithm is proposed to synthesize constant modulus waveform to maximize SNR and MI simultaneously. Simulation results show that the performance of the synthesized waveforms is satisfactory and can approximate the ideal waveform.
Cognitive Radar Adaptive Waveform Design Mutual Information Signal-to-Noise Ratio (SNR)
J.D. Zhang D.Y. Zhu G. Zhang
College of Electronic Information and Engineering, Nanjing University of Aeronautics and Astronautics,210016, Nanjing, Jiangsu, P.R. China
国际会议
2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)
成都
英文
580-583
2011-10-24（万方平台首次上网日期，不代表论文的发表时间）