Abstract
We present a range-gating delayed detection super-resolution imaging lidar with high
accuracy based on the signal intensities of three consecutive delay samples. The system combines the
range and signal intensity information from multi-pulse detections to calculate the pulse peak
position under the assumption of a Gaussian pulse shape. Experimental results indicate that the
proposed algorithm effectively calculates pulse peak position and exhibits excellent accuracy with
super-resolution. Accuracy analysis shows that accuracy is best improved by enhancing
signal-to-noise ratio, strategically selecting samples, reducing pulse width, and appropriately
choosing the delayed periods between samples.
© 2012 Chinese Optics Letters
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