TY - GEN
T1 - Radar compressed sampling with longtime pre-coherent integration via RFT
AU - Li, Xiao
AU - Huan, Hao
AU - Wei, Zonghan
AU - Wang, Yue
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/7
Y1 - 2017/6/7
N2 - Compressed sampling is generally used in ultra-wideband radar, in which the moving targets' radial velocity would easily cause the across range unit (ARU) effect due to the high refined range resolution. Meanwhile, the noise-folding effect caused by under-sampling reduces the signal-to-noise ratio (SNR) of compressed sampled signals apparently. Therefore, traditional pre-coherent integration via discrete Fourier transform (DFT) are very likely to be unable to provide enough SNR gain for reliable reconstruction. In this paper we propose a novel radar compressed sampling system with longtime pre-coherent integration via Radon Fourier transform (RFT). The compressed sampled signals are firstly decompressed, then integrated by RFT filter banks, and finally reconstructed on each velocity bin respectively. The integration time of the proposed system is no longer restricted by the velocity of targets and range resolution as in the traditional pre-coherent integration via DFT, but could be greatly extended to satisfy the actual SNR requirements of system. Numerical simulation results show that the rate of successful reconstruction of provided system with high targets velocity is significantly improved, compared with the previous method using DFT integration.
AB - Compressed sampling is generally used in ultra-wideband radar, in which the moving targets' radial velocity would easily cause the across range unit (ARU) effect due to the high refined range resolution. Meanwhile, the noise-folding effect caused by under-sampling reduces the signal-to-noise ratio (SNR) of compressed sampled signals apparently. Therefore, traditional pre-coherent integration via discrete Fourier transform (DFT) are very likely to be unable to provide enough SNR gain for reliable reconstruction. In this paper we propose a novel radar compressed sampling system with longtime pre-coherent integration via Radon Fourier transform (RFT). The compressed sampled signals are firstly decompressed, then integrated by RFT filter banks, and finally reconstructed on each velocity bin respectively. The integration time of the proposed system is no longer restricted by the velocity of targets and range resolution as in the traditional pre-coherent integration via DFT, but could be greatly extended to satisfy the actual SNR requirements of system. Numerical simulation results show that the rate of successful reconstruction of provided system with high targets velocity is significantly improved, compared with the previous method using DFT integration.
UR - http://www.scopus.com/inward/record.url?scp=85021414137&partnerID=8YFLogxK
U2 - 10.1109/RADAR.2017.7944419
DO - 10.1109/RADAR.2017.7944419
M3 - Conference contribution
AN - SCOPUS:85021414137
T3 - 2017 IEEE Radar Conference, RadarConf 2017
SP - 1367
EP - 1372
BT - 2017 IEEE Radar Conference, RadarConf 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Radar Conference, RadarConf 2017
Y2 - 8 May 2017 through 12 May 2017
ER -