Developments to a multiband passive radar demonstrator system

Gould, D.M.; Pollard, Robert; Sarno, C.; Tittensor, P.J.

doi:10.1049/cp:20070664

Cited by 12 publications

(4 citation statements)

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“…Equations between ( 7) and (10) show that the bistatic CRLBs on the range and velocity estimations can be decoupled into only waveform and only bistatic geometry and SINR dependent parameters. As a consequence, both the bistatic geometry and waveform parameters significantly impact the CRLBs, hence range and velocity estimation accuracies.…”

Section: Bistatic Crlbs On Range and Velocity Estimationsmentioning

confidence: 99%

Improved Target Localization in Multiwaveform Multiband Hybrid Multistatic Radar Networks

2022

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This study proposes an algorithm to improve the target localization performance. This is implemented in a multi-waveform multi-band hybrid (passive and active) multistatic radar network scenario, that utilize broadcasting signals for radar sensing, in addition to the radar waveforms. Multi-waveform multi-band radar receivers can exploit the broadcast signals transmitted by noncooperative transmitters, such as communication or broadcasting systems, for target sensing in addition to radar waveform. Hence, multiple measurements of the targets can be acquired and fused to improve the target detection and parameter estimation. Because of utilizing various waveforms, each transmitter-receiver (Tx-Rx) pair has a different range and velocity estimation accuracy, that is also affected by the bistatic geometry of the bistatic pairs. Taking this into account, this study proposes a target localization algorithm based on bistatic Cram ér-Rao Lower Bounds (CRLBs) for multistatic multi-band radar networks. It is shown that modeling the entire network and evaluating the bistatic range CRLB of each bistatic pair in advance, and utilizing this information while estimating the target location significantly improves the localization accuracy. Moreover, the proposed algorithm also includes a target height estimation correction stage to achieve a better 3D localization accuracy.

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Section: Bistatic Crlbs On Range and Velocity Estimationsmentioning

confidence: 99%

Improved Target Localization in Multiwaveform Multiband Hybrid Multistatic Radar Networks

2022

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“…So, the advantages of multiple radiation source signals in different frequency bands are used to realise integrated detection of targets, which provides an effective way to improve radar performance. For example, if DBPR can use multi‐band broadcasting signals of HF, VHF, and UHF in the same station, it would maximise the detecting and tracking capabilities through signal fusion processing [10]. Similarly in DBPR with synthetic broadband which is constructed by multiple channels (narrow bands) signals from the same frequency band, the performance improvement of distance, azimuth resolution, clutter suppression, signal‐to‐noise ratio for detection and coverage results by means of coherent synthesis or non‐coherent synthesis.…”

Section: Development Trends Of Passive Radar For Civil Aviationmentioning

confidence: 99%

Application overview and development trend of passive radar in civil aviation

Zhang

Zhao

et al. 2019

J. eng.

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“…First, receivers isolate the directpath and target-path signals into reference and surveillance channels, respectively, for each bistatic pair [1]- [4]. Second, targets are detected within each bistatic pair via calculation and thresholding of the reference-surveillance cross-ambiguity function (CAF).…”

Section: Introductionmentioning

confidence: 99%

Direct Cartesian localization in passive MIMO radar networks

Hack

Patton

Himed

2014

2014 International Radar Conference

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This paper considers target localization in passive multiple-input multiple-output (MIMO) radar sensor networks comprised of multiple non-cooperative transmitters and multiple multichannel receivers. The maximum likelihood estimator is derived for direct estimation of target position and velocity in Cartesian space using all measurement data. Localization performance is shown to vary significantly as a function of both target-path SNR and direct-path SNR. In addition to angle information, this estimator is shown to make use of bistatic range, bistatic Doppler, time-difference-of-arrival, and frequencydifference-of-arrival information to varying degrees depending on the target-path and direct-path SNR regime.

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Developments to a multiband passive radar demonstrator system

Cited by 12 publications

References 0 publications

Improved Target Localization in Multiwaveform Multiband Hybrid Multistatic Radar Networks

Improved Target Localization in Multiwaveform Multiband Hybrid Multistatic Radar Networks

Application overview and development trend of passive radar in civil aviation

Direct Cartesian localization in passive MIMO radar networks

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