SNR analysis of a new type of airborne three-dimensional gazing gating imaging laser radar system

Zhenmin Shen; Tian Lan; Yinchao Zhang; Guoqiang Ni

doi:10.1117/12.836558

29 August 2009 SNR analysis of a new type of airborne three-dimensional gazing gating imaging laser radar system

Zhenmin Shen, Tian Lan, Yinchao Zhang, Guoqiang Ni

Proceedings Volume 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging; 73823H (2009) https://doi.org/10.1117/12.836558
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

Abstract

Signal to noise ratio (SNR) is a key parameter in laser radar system. In this paper, the principle and composition of a new type of airborne three-dimensional gazing gating imaging laser radar system are given. The signal model and the noise model have been established respectively according to the working process of the new type of laser radar. Then the SNR model has been built. Based on the SNR model, some important factors which influence the SNR have been analyzed. SNR can be improved by optimizing the system inherent parameters which include laser wavelength, laser pulse energy, receiving telescope diameter, the efficiency of launching and receiving optical system, and quantum efficiency of intensified charge-coupled device (ICCD). Moderately sacrificing system resolution and operating height can also improve SNR. It is shown by calculation and analysis that the most primary noise is the image intensifier quantum noise and other noises are negligible. Also SNR is almost unchanged with the increasing of the overall electron gain (G) in the whole actual range. Last the simplified SNR model is given according to the actual system parameters.

Citation Download Citation

Zhenmin Shen, Tian Lan, Yinchao Zhang, and Guoqiang Ni "SNR analysis of a new type of airborne three-dimensional gazing gating imaging laser radar system", Proc. SPIE 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging, 73823H (29 August 2009); https://doi.org/10.1117/12.836558

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