DVB-T Signal Cross-Ambiguity Functions Improvement for Passive Radar

Gao, Zhiwen; Tao, Ran; Ma, Yanxing; Shao, Tao

doi:10.1109/icr.2006.343131

Cited by 20 publications

(13 citation statements)

References 9 publications

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“…Attempts to optimise standard OFDM signals were studied for Digital Video Broadcast (DVB-T) and were based on removing (at the receiver) ambiguity function peaks due to pilot transmission and cyclic transmission of guard bands [27,28]. Our study focuses on attempting to modify the signal parameters with the aim of optimising the ambiguity function.…”

Section: B Methodology and Signal Optimisationmentioning

confidence: 99%

Waveform design for Commensal Radar

Griffiths

Darwazeh

Inggs

2015

2015 IEEE Radar Conference (RadarCon)

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Commensal Radar has been proposed as a means of addressing the spectrum congestion problem. It may be defined as a passive bistatic radar (PBR) in which the communications, broadcast or radionavigation waveform is designed not only so that it fulfils its primary purpose, but also so that its properties are in some sense optimized as radar signals. This paper develops these ideas, using as examples some modern digital communications and broadcast modulation formats and an experimental testbed.

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Section: B Methodology and Signal Optimisationmentioning

confidence: 99%

Waveform design for Commensal Radar

Griffiths

Darwazeh

Inggs

2015

2015 IEEE Radar Conference (RadarCon)

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“…We assume that there is no angular information available. The bistatic range and Doppler measurements can be gathered in the delay‐Doppler ambiguity function [18], even if the transmitter origin is unknown. The ambiguity function is defined by

χ_{rs} false(τ, f_{d} false) = \int_{- normal∞}^{+ normal∞} r (t) \cdot s^{*} false(t - τ false) e^{- normalj 2 π f_{d} t} normald t

where r ( t ) denotes the reference signal, which is the direct signal from the closest transmitter to the receiver in SFN based passive radar systems, s ( t ) is the surveillance signal, τ is the time delay between the transmitter‐target‐receiver path and the closest direct transmitter‐receiver path and f d represents the Doppler frequency.…”

Section: Problem Formulationmentioning

confidence: 99%

Promoted clustering method for the measurement–transmitter association in SFN based passive radar systems

Guan

Zhong

et al. 2016

IET Radar, Sonar & Navigation

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“…Passive radar [1] (PR) is a kind of radar system which uses the existing transmitters of opportunity (such as FM [2,3], GSM [4], and DVB-T [5,6]) in space to achieve target detection and tracking and other tasks without special deployment or installation of transmitters. In recent years, PR has been widely concerned in the military and commercial fields because of advantages in terms of low-cost implementation, confidentiality, strong antijamming, and reduced electromagnetic pollution to the environment.…”

Section: Introductionmentioning

confidence: 99%

Compressed Sensing‐Based Range‐Doppler Processing Method for Passive Radar

Guo

Zhao

Shan

2021

Wireless Communications and Mobile Computing

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Passive radar (PR) systems use the existing transmitters of opportunity in the environment to perform tasks such as detection, tracking, and imaging. The classical cross-correlation based methods to obtain the range-Doppler map have the problems of high sidelobe and limited resolution due to the influence of signal bandwidth. In this paper, we propose a novel range-Doppler processing method based on compressed sensing (CS), which performs sparse reconstruction in range and Doppler dimensions to achieve high resolution and reduces sidelobe without excessive computational burden. Results from numerical simulations and experimental measurements recorded with the Chinese standard digital television terrestrial broadcasting (DTTB) based PR show that the proposed method successfully handles the range-Doppler map formatting problem for PR and outperforms the existing CS-based PR processing methods.

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DVB-T Signal Cross-Ambiguity Functions Improvement for Passive Radar

Cited by 20 publications

References 9 publications

Waveform design for Commensal Radar

Waveform design for Commensal Radar

Promoted clustering method for the measurement–transmitter association in SFN based passive radar systems

Compressed Sensing‐Based Range‐Doppler Processing Method for Passive Radar

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