@inbook{98e72473b6374e8f83d1c7580a780be6,
title = "Enhancing the Performance of the MicroPulse DIAL Through Poisson Total Variation Signal Processing",
abstract = "Poisson total variation (PTV) is a statistical signal processing technique that employs regularized maximum likelihood estimation with a known signal detection noise model to perform inversions on noisy observations. Here we describe current and possible application of PTV to estimate MicroPulse DIAL data products. We show results from development of water vapor DIAL processing where PTV has reduced errors in the retrieval and extended the instrument{\textquoteright}s useful range from 4–6 km up to 8 km. We describe the benefits of applying PTV to temperature estimation using oxygen DIAL. Finally, we highlight how this processing approach can be applied to different signal acquisition approaches by describing how the technique is used to process time-correlated single photon counting data.",
keywords = "DIAL, Gases, HSRL, LiDAR technology, Signal processing, Temperature",
author = "Matthew Hayman and Marais, \{Willem J.\} and Stillwell, \{Robert A.\} and Joshua Carnes and Spuler, \{Scott M.\}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.",
year = "2023",
doi = "10.1007/978-3-031-37818-8\_19",
language = "English",
series = "Springer Atmospheric Sciences",
publisher = "Springer Verlag",
pages = "141--147",
booktitle = "Springer Atmospheric Sciences",
address = "Germany",
}