Time–Frequency Radar Processing for Meteor Detection

Wen, C.-H.; Doherty, J.F.; Mathews, J. D.

doi:10.1109/tgrs.2003.821344

Cited by 12 publications

(12 citation statements)

References 8 publications

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“…The Doppler technique for obtaining the instantaneous meteor Doppler velocity and deceleration is described in Janches et al (2000aJanches et al ( ,b, 2001. Subsequent improvement of the signal processing techniques at AO has been particularized by Mathews et al (2003); Wen et al (2004Wen et al ( , 2005a; Briczinski et al (2006); Wen et al (2005bWen et al ( , 2007. The emphases of the analysis technique development have been to implement automated real-time analysis of meteor parameters (Wen et al, 2004), remove non-periodic bursty interference (Wen et al, 2005b), and separate incoherent scatter from meteor signals (Wen et al, 2005a(Wen et al, , 2007.…”

Section: Eiscatmentioning

confidence: 99%

“…Subsequent improvement of the signal processing techniques at AO has been particularized by Mathews et al (2003); Wen et al (2004Wen et al ( , 2005a; Briczinski et al (2006); Wen et al (2005bWen et al ( , 2007. The emphases of the analysis technique development have been to implement automated real-time analysis of meteor parameters (Wen et al, 2004), remove non-periodic bursty interference (Wen et al, 2005b), and separate incoherent scatter from meteor signals (Wen et al, 2005a(Wen et al, , 2007. Close et al (2000) used the interferometric capabilities of the Advanced Research Projects Agency (ARPA) Long-Range Tracking and Instrumentation Radar (ALTAIR) to calculate atmospheric meteoroid trajectories of meteors observed during the 1998 Perseid meteor shower, and during the 1998 Leonid meteor storm (Close et al, 2002).…”

Section: Eiscatmentioning

confidence: 99%

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A meteor head echo analysis algorithm for the lower VHF band

et al. 2012

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Abstract.We have developed an automated analysis scheme for meteor head echo observations by the 46.5 MHz Middle and Upper atmosphere (MU) radar near Shigaraki, Japan (34.85 • N, 136.10 • E). The analysis procedure computes meteoroid range, velocity and deceleration as functions of time with unprecedented accuracy and precision. This is crucial for estimations of meteoroid mass and orbital parameters as well as investigations of the meteoroid-atmosphere interaction processes. In this paper we present this analysis procedure in detail. The algorithms use a combination of singlepulse-Doppler, time-of-flight and pulse-to-pulse phase correlation measurements to determine the radial velocity to within a few tens of metres per second with 3.12 ms time resolution. Equivalently, the precision improvement is at least a factor of 20 compared to previous single-pulse measurements. Such a precision reveals that the deceleration increases significantly during the intense part of a meteoroid's ablation process in the atmosphere. From each received pulse, the target range is determined to within a few tens of meters, or the order of a few hundredths of the 900 m long range gates. This is achieved by transmitting a 13-bit Barker code oversampled by a factor of two at reception and using a novel range interpolation technique. The meteoroid velocity vector is determined from the estimated radial velocity by carefully taking the location of the meteor target and the angle from its trajectory to the radar beam into account. The latter is determined from target range and bore axis offset. We have identified and solved the signal processing issue giving rise to the peculiar signature in signal to noise ratio plots reported by Galindo et al. (2011), and show how to use the range interpolation technique to differentiate the effect of signal processing from physical processes.

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Section: Eiscatmentioning

confidence: 99%

Section: Eiscatmentioning

confidence: 99%

A meteor head echo analysis algorithm for the lower VHF band

et al. 2012

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“…5 (Wen et al, 2004). When a meteor event is present in all IPPs of the window, there is a special Fourier series structure in the frequency spectrum because of the periodicity of the meteor return.…”

Section: Meteor Detectionmentioning

confidence: 99%

“…6(c) . Since each meteor event results in this spectral pattern, we construct a MRS correlator to detect the presence of meteor signals (Wen et al, 2004). Fig.…”

Section: Meteor Detectionmentioning

confidence: 99%

Meteor detection and non-periodic bursty interference removal for Arecibo data

Wen

Doherty

Mathews

et al. 2005

Journal of Atmospheric and Solar-Terrestrial Physics

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“…Important applications for this detection method include radar and sonar systems [1][2][3]. To compute the time-frequency matched filter, we require a discrete version of this matched filter.…”

Section: Introductionmentioning

confidence: 99%

Accurate and efficient implementation of the time–frequency matched filter

O’Toole

Mesbah

Boashash

2010

IET Signal Process.

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The discrete time-frequency matched filter should replicate the continuous time-frequency matched filter. But the methods differ. To avoid aliasing the discrete method transforms the real-valued signal to the complex-valued analytic signal. The theory for the time-frequency matched filter does not consider the discrete case using the analytic signal. We find that the performance of the matched filter degrades when using the analytic, rather than real-valued, signal. This performance degradation is dependent on the signal to noise ratio and the signal type. In addition, we present a simple algorithm to efficiently compute the time-frequency matched filter. The algorithm with the real-valued signal, comparative to using the analytic signal, requires one-quarter of the computational load. Hence the real-valued signal-and not the * Boualem Boashash is also with The University of Queensland.

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Time–Frequency Radar Processing for Meteor Detection

Cited by 12 publications

References 8 publications

A meteor head echo analysis algorithm for the lower VHF band

A meteor head echo analysis algorithm for the lower VHF band

Meteor detection and non-periodic bursty interference removal for Arecibo data

Accurate and efficient implementation of the time–frequency matched filter

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