Clutter discrimination algorithm simulation in pulse laser radar imaging

Yan-mei Zhang; Huan Li; Hai-chao Guo; Xuan Su; Fule Zhu

doi:10.1117/12.2196933

15 October 2015 Clutter discrimination algorithm simulation in pulse laser radar imaging

Yan-mei Zhang, Huan Li, Hai-chao Guo, Xuan Su, Fule Zhu

Proceedings Volume 9674, AOPC 2015: Optical and Optoelectronic Sensing and Imaging Technology; 967409 (2015) https://doi.org/10.1117/12.2196933
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China

Abstract

Pulse laser radar imaging performance is greatly influenced by different kinds of clutter. Various algorithms are developed to mitigate clutter. However, estimating performance of a new algorithm is difficult. Here, a simulation model for estimating clutter discrimination algorithms is presented. This model consists of laser pulse emission, clutter jamming, laser pulse reception and target image producing. Additionally, a hardware platform is set up gathering clutter data reflected by ground and trees. The data logging is as clutter jamming input in the simulation model. The hardware platform includes a laser diode, a laser detector and a high sample rate data logging circuit. The laser diode transmits short laser pulses (40ns FWHM) at 12.5 kilohertz pulse rate and at 905nm wavelength. An analog-to-digital converter chip integrated in the sample circuit works at 250 mega samples per second. The simulation model and the hardware platform contribute to a clutter discrimination algorithm simulation system. Using this system, after analyzing clutter data logging, a new compound pulse detection algorithm is developed. This new algorithm combines matched filter algorithm and constant fraction discrimination (CFD) algorithm. Firstly, laser echo pulse signal is processed by matched filter algorithm. After the first step, CFD algorithm comes next. Finally, clutter jamming from ground and trees is discriminated and target image is produced. Laser radar images are simulated using CFD algorithm, matched filter algorithm and the new algorithm respectively. Simulation result demonstrates that the new algorithm achieves the best target imaging effect of mitigating clutter reflected by ground and trees.

Citation Download Citation

Yan-mei Zhang, Huan Li, Hai-chao Guo, Xuan Su, and Fule Zhu "Clutter discrimination algorithm simulation in pulse laser radar imaging", Proc. SPIE 9674, AOPC 2015: Optical and Optoelectronic Sensing and Imaging Technology, 967409 (15 October 2015); https://doi.org/10.1117/12.2196933

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KEYWORDS

Detection and tracking algorithms

LIDAR

Pulsed laser operation

Computer simulations

Algorithm development

Optical simulations

Optical filters

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