TY - JOUR
T1 - Adaptive threshold detection algorithm of LDV system
AU - Huang, Xin
AU - Hu, Shuling
AU - Niu, Yanxiong
AU - Li, Xiaopei
AU - Li, Jun
AU - Liu, Dongxue
N1 - Publisher Copyright:
© 2017, Editorial Board of JBUAA. All right reserved.
PY - 2017/5
Y1 - 2017/5
N2 - Signal detection is the key technology for the high precision of laser Doppler velocimetry (LDV) system. In order to achieve the accurate detection of the weak Doppler signal in LDV, we carried out a band-stop filtering toward the Doppler signal on the ground of the statistical characteristics of the noise in frequency domain. Combined with the constant false alarm rate (CFAR) detection technology of radar, an algorithm of adaptive threshold detection based on the sum of unit square in frequency domain is proposed so as to address the difficulty in signal detection within the atmosphere of low signal noise ratio (SNR), improving the detection performance and decreasing the probability of false alarm. Compared with the fixed threshold through simulations and experiments, this algorithm boasts the advantage of complete detection under the circumstance of SNR -12 dB while maintaining a relatively lower false alarm rate and simple operation as well as great applicability.
AB - Signal detection is the key technology for the high precision of laser Doppler velocimetry (LDV) system. In order to achieve the accurate detection of the weak Doppler signal in LDV, we carried out a band-stop filtering toward the Doppler signal on the ground of the statistical characteristics of the noise in frequency domain. Combined with the constant false alarm rate (CFAR) detection technology of radar, an algorithm of adaptive threshold detection based on the sum of unit square in frequency domain is proposed so as to address the difficulty in signal detection within the atmosphere of low signal noise ratio (SNR), improving the detection performance and decreasing the probability of false alarm. Compared with the fixed threshold through simulations and experiments, this algorithm boasts the advantage of complete detection under the circumstance of SNR -12 dB while maintaining a relatively lower false alarm rate and simple operation as well as great applicability.
KW - Adaptive threshold
KW - Constant false alarm rate (CFAR)
KW - Laser Doppler velocimetry (LDV) system
KW - Low signal noise ratio (SNR)
KW - Signal detection in frequency domain
UR - https://www.scopus.com/pages/publications/85021437257
U2 - 10.13700/j.bh.1001-5965.2016.0320
DO - 10.13700/j.bh.1001-5965.2016.0320
M3 - 文章
AN - SCOPUS:85021437257
SN - 1001-5965
VL - 43
SP - 992
EP - 997
JO - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
JF - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
IS - 5
ER -