Acquisition and Recovery of Full-Waveform LIDAR Data Based on Compressive Sensing

Abstract:

The full-waveform technology in the small footprint airborne LIDAR systems has enabled us to sample and record the whole returned waveform of a laser shot. Under most conditions the full-waveform signals satisfy the K-sparse condition and thus can be sampled and recovered using the theory of compressive sensing. This paper proposes a new compressive-sensing-based data acquisition and processing method, by which the returned signals are sampled in small number by a Toeplitz-like matrix, and the target cross sections and the full-waveforms are approximated and recovered by GPRS algorithm. The feasibility of this method is verified by simulated experiments under both ideal conditions and non-ideal conditions with noises. The advantage of this method lies in that requirement for the slew rate of the ADC is lowered, which is convenient for the data storage and transmission .

• Periodical: Applied Mechanics and Materials (Volumes 644-650)
• Pages: 4117-4120
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.644-650.4117
• Online since: September 2014
• Authors: Jun Zhao*, Jun Lv
• Keywords: Compressive Sampling, Full-Waveform LIDAR, Toeplitz Matrix

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