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Bitstream Photon Counting Chirped AM Lidar with a Digital Logic Local Oscillator
DOI:
https://doi.org/10.31224/osf.io/bg4m7Keywords:
1-bit, Additive Random Sampling, Alias Free Sampling, AMCW, AND Gate, ARS, Bitstream, Bitstream Lidar, Bitstream Radar, Boolean Logic, Chirped AM, Chirped Amplitude Modulation, CMOS, Complementary Metal-Oxide-Semiconductor, Digital Logic, FMCW, Gamma Poisson Mixture, Geiger-mode APD, Gm-APD, Intensity Modulation, Ladar, Laser Radar, Lidar, Lidar-on-a-chip, Local Oscillator, Logic Gate, NBPP, Negative Binomial, Negative Binomial Plus Poisson, Non-uniform Sampling, Optics, Opto-electronics, Photon Counting, Photonics, Poisson, Random Sampling, Ranging, Readout Integrated Circuit, ROIC, Single Bit, Single Photon Avalanche Diode, Single Photon Counting Module, SPAD, SPCMAbstract
This paper introduces a new concept for the local oscillator (LO) for the Photon Counting Chirped Amplitude Modulation Lidar (PC-CAML). Rather than using a radio-frequency (RF) analog LO applied electronically either in post-detection mixing or via opto-electronic mixing (OEM) at the detector, or applied via pre-detection mixing using an optical intensity modulator as in previous systems, the new method mixes the single-bit binary counts from the photon counting detector with a single-bit binary LO using an AND binary digital logic gate. This type of LO is called the Digital Logic Local Oscillator (DLLO), and the resulting PC-CAML system is a type of bitstream lidar called bitstream PC-CAML (patent pending). The key advantage of the DLLO in the bitstream PC-CAML is that it replaces bulky, power-hungry, and expensive wideband RF analog electronics with single-bit digital logic components that can be implemented in inexpensive silicon complementary metal-oxide-semiconductor (CMOS) read-out integrated circuits (ROICs) to make the bitstream PC-CAML with a DLLO more suitable for compact lidar-on-a-chip systems and lidar array receivers than previous PCCAML systems. This paper introduces the DLLO for bitstream PC-CAML concept, presents the initial signal-to-noise-ratio (SNR) theory with comparisons to Monte Carlo simulation results, and makes suggestions for future work on this concept.Downloads
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