Paper
13 September 2004 Three-dimensional laser radar sensor modeling and validation via a Monte Carlo Rayleigh-Sommerfeld wave optics approach
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Abstract
The LADAR simulation tool described in this paper is designed to propagate optical fields from the laser transmitter to the target and back to the receiver. This simulation tool differs from other wave optics simulation codes as they propagate fields using the Fresnel approximation to approximate diffraction between planes in the optical train. The approach taken here involves the use of the Rayleigh-Sommerfeld propagation integral for computing the field at one field plane due to another. The proposed modeling technique can be used to model both 2-D and 3-D data collected with different sensors. The probability of detection is estimated from the modeled data and is compared to that estimated from the measured data. Both the average probability of detection over the whole target and the error variance of the probability of detection are used to compare the modeled and measured data. These experiments show that the model can successfully estimate the performance of the 3-D sensor to within 6.5 percent of its measured value.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen C. Cain "Three-dimensional laser radar sensor modeling and validation via a Monte Carlo Rayleigh-Sommerfeld wave optics approach", Proc. SPIE 5412, Laser Radar Technology and Applications IX, (13 September 2004); https://doi.org/10.1117/12.541886
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Cited by 6 scholarly publications.
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KEYWORDS
Data modeling

3D modeling

LIDAR

Atmospheric propagation

Sensors

Target detection

Monte Carlo methods

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