经时变门限一比特采样的压缩雷达感知
Compressive Radar Sensing via one-Bit sampling with a Time-Varying Threshold
   Mohammad Mahdi Naghsh
报告人照片   Mohammad Mahdi Naghsh (S'09-M'14) received the B.Sc., the M.Sc., and the Ph.D. degrees all in electrical engineering from Isfahan University of Technology, Isfahan, Iran, in 2005, 2008, and 2013, respectively. From May 2012 to May 2013, he was a visiting researcher with the Department of Information Technology, Uppsala University, Sweden. Currently, he is an assistant professor with the Department of Electrical and Computer Engineering as well as the director of Technology Transfer Office (TTO), Isfahan University of Technology, Isfahan, Iran.
  Signal quantization is a primary task in signal processing applications. In practice, the amplitude quantization precision is in tradeoff with the sampling rate, cost, and energy consumption. One bit quantization allows very high sampling rates, at low cost and with low energy consumption making it a potential candidate for emerging wideband applications. In this talk, we consider a compressive pulse-Doppler radar that works through one-bit quantization of the received noisy signal. The one-bit quantization is performed by comparing the signal with a time-varying reference level. The problem is dealt with by a sparse recovery method. The proposed method leads to an optimization problem that can be tackled by a convex approximation. We then provide numerical examples showing the proposed method has a promising performance in the detection/estimation of the target parameters in clutter-free as well as clutter-affected cases. It is also seen that in low signal to noise ratio, increasing the sampling rate at the receiver side is a compensating factor that effectively improves the performance. We finally address the application of the devised setup to direction of arrival (DOA) estimation.
报告时间:2017年10月25日14时30分    报告地点:西区电二楼208会议室
报名截止日期:2017年10月25日    可选人数:50