Testing of Doppler tolerant range sidelobe suppression in pulse compression meteorological radar

Bucci, N.J.; Urkowitz, H.

doi:10.1109/nrc.1993.270464

Cited by 13 publications

(11 citation statements)

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“…By using a virtual point target for representing weather scatterers (hydrometeors) in each range bin, we can greatly simplify the reflection model while maintaining estimation accuracies on weather parameters. For this reason, this assumption has been used in a number of weather radar studies [8,11]. The second assumption is made because this feasibility study focuses on weather conditions in which a target velocity rarely changes over the observation time as in the case of, for example, (stable) rain fall or snow fall.…”

Section: System Modelmentioning

confidence: 99%

“…Specifically, in the transmission mode, the radar transmits its pulse in the current direction of the antenna; it switches the mode to the reception mode and captures radar Reflection of a radar signal by Passing through an equivalent reflection weather targets channel consisting of virtual point targets each of which exists in a range bin [8,11] Variation of the velocity of Zero a weather target signals in the air for a while. Then, it switches back to the transmission mode for transmitting the next pulse.…”

Section: System Modelmentioning

confidence: 99%

“…As a weather target actually consists of a tremendous number of weather scatterers, it is extremely difficult to individually consider and model the impact of each scatterer on the reflection of the radar signal. Thus, we employ a simple approach that has been adopted and validated in many previous studies [8,11]. In the approach, the radar signal's path is divided into multiple resolution volumes (a.k.a.…”

Section: Reflection Of Pulse By Weather Targetsmentioning

confidence: 99%

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A frequency-sharing weather radar network system using pulse compression and sidelobe suppression

Min

Song

et al. 2016

J Wireless Com Network

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To mitigate damages due to natural disasters and abruptly changing weather, the importance of a weather radar network system (WRNS) is growing. Because radars in the current form of a WRNS operate in distinct frequency bands, operating a WRNS consisting of a large number of radars is very costly in terms of frequency resource. In this paper, we propose a novel WRNS in which multi-site weather radars share the same frequency band. By employing pulse compression with nearly orthogonal polyphase codes and sidelobe removal processing, a weather radar of the proposed frequency-sharing WRNS addresses inter-site and intra-site interferences simultaneously. Through computer simulations, we show the feasibility of the proposed system taking the performance requirement of a typical single weather radar into account.

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Section: System Modelmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Section: Reflection Of Pulse By Weather Targetsmentioning

confidence: 99%

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A frequency-sharing weather radar network system using pulse compression and sidelobe suppression

Min

Song

et al. 2016

J Wireless Com Network

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“…Echoes at other ranges are similarly obtained. The echo construction procedure explained here is similar to that used by Bucci and Urkowitz [14], and is mathematically described as (12) III. RANGE SIDELOBE SUPPRESSION Due to the distributed nature of weather targets, the integrated sidelobe level (ISL) provides a good measure of range sidelobe contamination.…”

Section: ) Evolution Of the Dispersed Pulse Echomentioning

confidence: 99%

Pulse compression for weather radars

Mudukutore

Chandrasekar

Keeler

1998

IEEE Trans. Geosci. Remote Sensing

101

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Abstract-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 phasecoded 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.

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“…Since then, more engineering and technical aspects have been investigated by Bucci and Urkowitz (1993), Keeler (1995) and Mudukutore et al (1998), among others. Meteorological research carried out using this technique include studies of clear-air wind shear using high power radar (Browning et al, 1978), cloud observations with millimetric radar (Sekelsky and McIntosh, 1996;Clothiaux et al, 2000;Uttal and Kropfli, 2001) or airborne radar precipitation observations (Girardin-Gondeau et al, 1991;Durden et al, 1994;Tanner et al, 1994).…”

Section: Introductionmentioning

confidence: 99%

Improving weather radar observations using pulse‐compression techniques

O'Hora

Bech

2007

Meteorological Applications

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Pulse-compression techniques have been used for many years to increase sensitivity and range resolution in military and air traffic control radar systems. However, their application to ground-based weather radar has, so far, been very limited and restricted to research applications. This article describes the practical implementation of pulse compression using non-linear frequency modulation (NLFM) in a commercial digital processor/receiver and demonstrates its application to operational weather radars.Three case studies are presented, including the first application of pulse compression to ground-based travelling wave tube (TWT) weather radars. TWT radars use coherent transmitters with relatively low peak power compared to traditional magnetron or klystron systems, so in this case the sensitivity gain is crucial. The cases are from two different operational radars and illustrate the improved range resolution and sensitivity gain obtained using NLFM pulses compared to traditional simple pulses. Observations obtained using NLFM 40 µs pulses were nearly 15 dB more sensitive than those recorded with lower resolution using 1 µs simple pulses. A comparison of concurrent precipitation observations obtained with a TWT radar using pulse compression and low peak power (NLFM 40 µs and 8 kW) and a nearby traditional magnetron weather radar (2 µs and 250 kW) is also presented. The higher power system was more sensitive by less than 4 dB, but the improved resolution in the pulse compression allowed for enhanced Doppler filtering of ground clutter.

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Testing of Doppler tolerant range sidelobe suppression in pulse compression meteorological radar

Cited by 13 publications

References 4 publications

A frequency-sharing weather radar network system using pulse compression and sidelobe suppression

A frequency-sharing weather radar network system using pulse compression and sidelobe suppression

Pulse compression for weather radars

Improving weather radar observations using pulse‐compression techniques

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