Approaching 80 years of passive radar

Kuschel, Heiner

doi:10.1109/radar.2013.6651987

Cited by 42 publications

(13 citation statements)

References 2 publications

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“…They cannot obtain their maximum simultaneously. Thus, there is no global optimum to (1). In this case, we can only seek some good operating points in a sense.…”

Section: Receiver Placement Approachmentioning

confidence: 99%

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Receiver placement in multistatic passive radars

Wan

Leung

2015

2015 IEEE Radar Conference (RadarCon)

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It is well known that geometry is of significance to the performance of multistatic radars. In multistatic passive radars the receiver placement is especially critical since the transmitters of opportunity are beyond control of radar designer. Instead of considering a single objective, we suggest to implement the receiver placement by using multiobjective optimization in this paper. Specifically, three objectives with clear physical meaning are constructed. Then optimal operating points are explored through Pareto optimization. The receiver placement approach is demonstrated via a numerical example.

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“…They cannot obtain their maximum simultaneously. Thus, there is no global optimum to (1). In this case, we can only seek some good operating points in a sense.…”

Section: Receiver Placement Approachmentioning

confidence: 99%

“…In 30 years, especially recently 10 years, a lot of work is dedicated to the topic on reference extraction, clutter rejection, cross correlation, target detection, and so on [1]- [3]. The detection and localization theory with respect to bistatic geometry is reaching a point of relative maturity.…”

Section: Introductionmentioning

confidence: 99%

Receiver placement in multistatic passive radars

Wan

Leung

2015

2015 IEEE Radar Conference (RadarCon)

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“…Passive radar (PR) in the context of drone detection and classification is certainly a viable endeavor and becoming increasingly attractive with the advancement of communication technologies and interests in higher transmission frequencies [8]- [12]. The inevitably strong clutter in PR may…”

Section: Introductionmentioning

confidence: 99%

An Augmented Generalized Likelihood Ratio Test Detector for Signal Detection in Clutter and Noise

2019

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To deal with the problem of signal detection in correlated subspace, this paper presents an augmented generalized likelihood ratio test (AGLRT) detector. Compared with traditional GLRT detector, this AGLRT detector has the advantage of incorporating the intersection component between signal and clutter subspace. Signal-contribution-ratio (SCR) and clutter-contribution-ratio (CCR) are defined to characterize the contribution of signal and clutter in the common subspace, respectively. The closed forms of both probability of detection and false alarm for the AGLRT detector are presented. It is shown that the detection performance of the AGLRT detector is better than the GLRT detector by choosing appropriate weight and threshold parameters. Then, analytical formulas of the suboptimal weight and threshold to maximize the detection performance are obtained. Finally, the effectiveness of the proposed detector is demonstrated by various examples. INDEX TERMS Detection, generalized likelihood ratio test (GLRT), matched subspace detector, generalized Marcum Q-function.

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“…Simulation of a WiMAX based passive radar for marine surveillance is described [14], including the detection coverage near windfarms. [15][16][17] discuss the PARASOL collision warning system based on DVB-T transmissions (Digital Video Broadcasting-Terrestrial). This system is designed to work within a turbine park with the function of detecting approaching aircraft, such that collision avoidance lights can be activated only as necessary, avoiding constant light pollution, affecting both humans and attracting undesired bird life to the area.…”

Section: Introductionmentioning

confidence: 99%

Measurements and modelling of radar signatures of large wind turbine using multiple sensors

Al-Mashhadani

Brown

Danoon

et al. 2018

2018 IEEE Radar Conference (RadarConf18)

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This paper presents initial results on the characterization of radar signatures of wind turbines, in particular larger wind turbines (capacity over 7 MW) used for offshore wind farms. Experimental results from simultaneous data collected using a passive DVB-T (Digital Video Broadcasting-Terrestrial) radar sensor and an active radar working at S-band are presented, as well as some comments on the parallel work on the modelling of the turbine and on the development of detection algorithms specific for this type of clutter. The initial results show significant variability of the signatures for different radar sensors used, but also for different parameters (e.g. polarization) for the same radar sensor and operational conditions of the turbine (rotation speed, yaw angle).

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Approaching 80 years of passive radar

Cited by 42 publications

References 2 publications

Receiver placement in multistatic passive radars

Receiver placement in multistatic passive radars

An Augmented Generalized Likelihood Ratio Test Detector for Signal Detection in Clutter and Noise

Measurements and modelling of radar signatures of large wind turbine using multiple sensors

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