The Experts below are selected from a list of 22245 Experts worldwide ranked by ideXlab platform
R.j. Keeler - One of the best experts on this subject based on the ideXlab platform.
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Pulse Compression for weather radars
IEEE Transactions on Geoscience and Remote Sensing, 1998Co-Authors: A.s. Mudukutore, V. Chandrasekar, R.j. KeelerAbstract:Wideband waveform techniques, such as Pulse Compression, allow for accurate weather radar measurements in a short data acquisition time. However, for extended targets such as precipitation systems, range sidelobes mask and corrupt observations of weak phenomena occurring near areas of strong echoes. Therefore, sidelobe suppression is extremely important in precisely determining the echo scattering region. A simulation procedure has been developed to accurately describe the signal returns from distributed weather targets, with Pulse Compression; waveform coding. This procedure is unique and improves on earlier work by taking into account the effect of target reshuffling during the Pulse propagation time which is especially important for long duration Pulses. The simulation procedure is capable of generating time series from various input range profiles of reflectivity, mean velocity, spectrum width, and SNR. Results from the simulation are used to evaluate the performance of phase coded Pulse Compression in conjunction with matched and inverse Compression filters. The evaluation is based on comparative analysis of the integrated sidelobe level and Doppler sensitivity after the Compression process. Pulse Compression data from the CSU-CHILL radar is analyzed. The results from simulation and the data analysis show that Pulse-Compression techniques indeed provide a viable option for faster scanning rates while still retaining good accuracy in the estimates of various parameters that can be measured using a Pulsed-Doppler radar. Also, it is established that with suitable sidelobe suppression filters, the range-time sidelobes can be suppressed to levels that are acceptable for operational and research applications.
V. Chandrasekar - One of the best experts on this subject based on the ideXlab platform.
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Sensitivity Enhancement System for Pulse Compression Weather Radar
Journal of Atmospheric and Oceanic Technology, 2014Co-Authors: Cuong Nguyen, V. ChandrasekarAbstract:AbstractThe use of low-power solid-state transmitters in weather radar to keep costs down requires a Pulse Compression technique that maintains an adequate minimum detectable signal. However, wideband Pulse Compression filters will partly reduce the system’s sensitivity performance. In this paper, a sensitivity enhancement system (SES) for Pulse Compression weather radar is developed to mitigate this issue. SES uses a dual-waveform transmission scheme and an adaptive Pulse Compression filter. The waveforms’ diversity can be done in the frequency domain or the time domain. The adaptive filter is designed based on the self-consistency between signal returns from the two waveforms. Analysis based on radar-simulated data and observations from NASA’s dual-frequency dual-polarized Doppler radar (D3R) shows that by using SES, the system sensitivity can be improved by 7–10 dB when compared to that of the conventional matched filter.
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Pulse Compression for weather radars
IEEE Transactions on Geoscience and Remote Sensing, 1998Co-Authors: A.s. Mudukutore, V. Chandrasekar, R.j. KeelerAbstract:Wideband waveform techniques, such as Pulse Compression, allow for accurate weather radar measurements in a short data acquisition time. However, for extended targets such as precipitation systems, range sidelobes mask and corrupt observations of weak phenomena occurring near areas of strong echoes. Therefore, sidelobe suppression is extremely important in precisely determining the echo scattering region. A simulation procedure has been developed to accurately describe the signal returns from distributed weather targets, with Pulse Compression; waveform coding. This procedure is unique and improves on earlier work by taking into account the effect of target reshuffling during the Pulse propagation time which is especially important for long duration Pulses. The simulation procedure is capable of generating time series from various input range profiles of reflectivity, mean velocity, spectrum width, and SNR. Results from the simulation are used to evaluate the performance of phase coded Pulse Compression in conjunction with matched and inverse Compression filters. The evaluation is based on comparative analysis of the integrated sidelobe level and Doppler sensitivity after the Compression process. Pulse Compression data from the CSU-CHILL radar is analyzed. The results from simulation and the data analysis show that Pulse-Compression techniques indeed provide a viable option for faster scanning rates while still retaining good accuracy in the estimates of various parameters that can be measured using a Pulsed-Doppler radar. Also, it is established that with suitable sidelobe suppression filters, the range-time sidelobes can be suppressed to levels that are acceptable for operational and research applications.
Shensheng Han - One of the best experts on this subject based on the ideXlab platform.
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Pulse-Compression ghost imaging lidar via coherent detection.
Optics Express, 2016Co-Authors: Chenjin Deng, Wenlin Gong, Shensheng HanAbstract:Ghost imaging (GI) lidar, as a novel remote sensing technique, has been receiving increasing interest in recent years. By combining Pulse-Compression technique and coherent detection with GI, we propose a new lidar system called Pulse-Compression GI lidar. Our analytical results, which are backed up by numerical simulations, demonstrate that Pulse-Compression GI lidar can obtain the target’s spatial intensity distribution, range and moving velocity. Compared with conventional Pulsed GI lidar system, Pulse-Compression GI lidar, without decreasing the range resolution, is easy to obtain high single Pulse energy with the use of a long Pulse, and the mechanism of coherent detection can eliminate the influence of the stray light, which is helpful to improve the detection sensitivity and detection range.
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Pulse Compression ghost imaging lidar via coherent detection
arXiv: Optics, 2016Co-Authors: Chenjin Deng, Wenlin Gong, Shensheng HanAbstract:Ghost imaging (GI) lidar, as a novel remote sensing technique,has been receiving increasing interest in recent years. By combining Pulse-Compression technique and coherent detection with GI, we propose a new lidar system called Pulse-Compression GI lidar. Our analytical results, which are backed up by numerical simulations, demonstrate that Pulse-Compression GI lidar can obtain the target's spatial intensity distribution, range and moving velocity. Compared with conventional Pulsed GI lidar system, Pulse-Compression GI lidar, without decreasing the range resolution, is easy to obtain high single Pulse energy with the use of a long Pulse, and the mechanism of coherent detection can eliminate the influence of the stray light, which can dramatically improve the detection sensitivity and detection range.
A.s. Mudukutore - One of the best experts on this subject based on the ideXlab platform.
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Pulse Compression for weather radars
IEEE Transactions on Geoscience and Remote Sensing, 1998Co-Authors: A.s. Mudukutore, V. Chandrasekar, R.j. KeelerAbstract:Wideband waveform techniques, such as Pulse Compression, allow for accurate weather radar measurements in a short data acquisition time. However, for extended targets such as precipitation systems, range sidelobes mask and corrupt observations of weak phenomena occurring near areas of strong echoes. Therefore, sidelobe suppression is extremely important in precisely determining the echo scattering region. A simulation procedure has been developed to accurately describe the signal returns from distributed weather targets, with Pulse Compression; waveform coding. This procedure is unique and improves on earlier work by taking into account the effect of target reshuffling during the Pulse propagation time which is especially important for long duration Pulses. The simulation procedure is capable of generating time series from various input range profiles of reflectivity, mean velocity, spectrum width, and SNR. Results from the simulation are used to evaluate the performance of phase coded Pulse Compression in conjunction with matched and inverse Compression filters. The evaluation is based on comparative analysis of the integrated sidelobe level and Doppler sensitivity after the Compression process. Pulse Compression data from the CSU-CHILL radar is analyzed. The results from simulation and the data analysis show that Pulse-Compression techniques indeed provide a viable option for faster scanning rates while still retaining good accuracy in the estimates of various parameters that can be measured using a Pulsed-Doppler radar. Also, it is established that with suitable sidelobe suppression filters, the range-time sidelobes can be suppressed to levels that are acceptable for operational and research applications.
T. Inoue - One of the best experts on this subject based on the ideXlab platform.
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Pulse Compression techniques using highly nonlinear fibers
Laser & Photonics Review, 2008Co-Authors: T. Inoue, Shu NamikiAbstract:We review optical Pulse Compression techniques based on optical fibers. After discussing the fundamental issues on Pulse Compression, we summarize and categorize various kinds of techniques for Pulse Compression. We then focus on the use of highly nonlinear fiber (HNLF) in a Pulse compressor to improve the performance. Introducing a figure of merit, we discuss which kind of HNLF of those recently reported is the most suitable for applications to Pulse Compression. As a HNLF-based optical Pulse compressor, we review the technologies of the comb-like profiled fiber (CPF) which consists of alternate concatenations of HNLF and single-mode fiber. Discussing the features of CPF, we show that CPF is a truly practical and flexible solution for optical Pulse Compression. Finally, we refer to a new class of Pulse Compression called “the stationary rescaled Pulse (SRP)”, which is a characteristic nonlinear stationary Pulse propagating through CPF. The propagation characteristics of the SRP provides a systematic and efficient design method of CPF as well as optical Pulse Compression that has never been achieved by conventional Pulse Compression schemes. As an example, a highly steep Pulse Compression in CPF is demonstrated, where a Pulse is compressed by a factor of 2.1 per step of the CPF, and a 7.2 ps-width optical Pulse is compressed to 0.38 ps with a four-step structure of CPF.
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Pulse Compression techniques using highly nonlinear fibers
Laser & Photonics Review, 2008Co-Authors: T. Inoue, Shigetoshi NamikiAbstract:We review Pulse Compression technique based on "comb-like profiled fiber (CPF)", comprised of alternate concatenations of highly nonlinear fiber and anomalous-dispersion fiber. We show CPF has truly practical and flexible features for optical Pulse Compression.
