Doppler dispersion effects in matched filter detection and resolution

Remley, Winslow R.

doi:10.1109/proc.1966.4571

Cited by 24 publications

(16 citation statements)

References 8 publications

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“…With Doppler, it was shown that only compensating for frequency shift gives a loss in signal-to-noise ratio (SNR) and time resolution accuracy [17]. Here we show similar results for clock offset, with the addition of results for detection and geolocation performance.…”

Section: Introductionsupporting

confidence: 78%

“…The analysis approach is similar to that in [17], except that Doppler is replaced by clock offset and the pseudorandom emitted signal is replaced with a pseudorandom digital symbol sequence and pulse shaping. To simplify the analysis, we consider the case in which the nominal carrier frequency is zero, to focus on time expansion/compression.…”

Section: A Analysismentioning

confidence: 99%

“…The term n (τ ) is the response due to the noise, which can be shown for a given lag to have zero mean and mean-square value N 0 . Similar to [17], we approximate the signal component by its average over all possible pseudorandom symbol sequences, givingĀ…”

Section: A Analysismentioning

confidence: 99%

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Mitigating radio emitter clock offset in detection and geolocation

Bottomley

Cairns

2015

IEEE Trans. Aerosp. Electron. Syst.

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When matched filtering is used for detection and geolocation (position estimation) of radio emitters, large emitter clock offset can cause a mismatch between the actual and synthesized (replica) waveforms in both carrier frequency and expansion/compression of the complex, baseband envelope. In this correspondence, the impact of this mismatch on performance is quantified, and an approach for addressing mismatch is presented. Specifically, the receivers employ multiple replicas that are time expanded/compressed as well as frequency shifted.

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Section: Introductionsupporting

confidence: 78%

Section: A Analysismentioning

confidence: 99%

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Mitigating radio emitter clock offset in detection and geolocation

Bottomley

Cairns

2015

IEEE Trans. Aerosp. Electron. Syst.

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“…If the transmitter/receiver pair are not maintaining a fixed distance some Doppler effect will be introduced. While LFM chirps are more Doppler tolerant than m-sequences, the conventional method for handing this situation is employing a bank of matched filters that covers the Doppler span (Remley, 1966 signal (Wei et al, 2010). Their method utilizes three HFM pulses, an initial "wake up" pulse, where the output of a MF detector is compared with a threshold, followed by two pulses, an "up" and a "down" pulse, who's relative peak spacing is utilized to measure the Doppler.…”

Section: Matched Filter Backgroundmentioning

confidence: 99%

Robust acoustic signal detection and synchronization in a time varying ocean environment

Gieleghem¹

2012

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Signal detection and synchronization in the time varying ocean environment is a difficult endeavor. The current common methods include using a linear frequency modulated chirped pulse or maximal length sequence as a detection pulse, then match filtering to that signal. In higher signal to noise ratio (SNR) environments (-0 dB and higher) this has been a suitable solution. As the SNR drops lower however, this solution no longer provides an acceptable probability of detection for a given tolerable probability of false alarm. The issue derives from the inherent coherence issues in the ocean environment which limit the useful matched filter length. This thesis proposes an alternative method of detection based on a recursive least squares linearly adaptive equalizer which we term the Adaptive Linear Equalizer Detector (ALED). This detectors performance has demonstrated reliable probability of detection with minimal interfering false alarms with SNR as low as -20 dB. Additionally this thesis puts forth a computationally feasible method for implementing the detector.

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“…(22), we may define the complex energy density function in time and frequency from Eq. (23) as (24) Then the energy density spectrum is…”

Section: Complex Energy Density Functionmentioning

confidence: 99%