1997
DOI: 10.1109/36.581958
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Validation of pulse compression techniques for meteorological functions

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Cited by 13 publications
(10 citation statements)
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“…Suppose that two pulses separated by 1 ms are transmitted in the same direction. Further, the pulses are 1 ps long and have wide bandwidths, say 20 MHz, suitable for pulse compression (Bucci et al 1997). Upon reception each pulse is compressed to 50 ns so that there are 20 compressed returns (subpulses) in the l-ps interval.…”
Section: Agile-beam Phased Array Radarmentioning
confidence: 99%
See 1 more Smart Citation
“…Suppose that two pulses separated by 1 ms are transmitted in the same direction. Further, the pulses are 1 ps long and have wide bandwidths, say 20 MHz, suitable for pulse compression (Bucci et al 1997). Upon reception each pulse is compressed to 50 ns so that there are 20 compressed returns (subpulses) in the l-ps interval.…”
Section: Agile-beam Phased Array Radarmentioning
confidence: 99%
“…Dualfrequency transmission and/or pulse compression can increase the speed of volume coverage without sacrificing the signal-to-noise ratio. Thus, upgrades in the processing area would be the addition of a second channel and a pulse compression (Mudukutore et al 1998;Bucci et al 1997) scheme. Modifications on the system are being made to enable wind measurements transverse to the beam.…”
Section: National Weather Radar Testbedmentioning
confidence: 99%
“…Linear frequency modulated pulse compression is adopted most extensive between various pulse compression technology. Generally, a correlation calculation between received signal and reference signal need to be done in pulse compression, then a high amplitude and small time width signal would be acquired [4,5]. The fundamental framework of linear frequency modulated pulse compression is showed in figure 1 [2].…”
Section: Introductionmentioning
confidence: 99%
“…In the first, a multi-layered neural network approach using back-propagation (BP) as the learning algorithm is used [7,10]. Whereas in the second approach, the extended Kalman filtering (EKF)-based learning algorithm has been used [8,11,12]. In both these approaches, the 13-element Barker code f1, 1, 1, 1, 1, 21, 21, 1, 1, 21, 1 21,1g and the maximum length sequences (m-sequences) of lengths 15, 31 and 63 (all of them are single period) were used as the signal codes [6,13].…”
Section: Introductionmentioning
confidence: 99%