Adaptive beamforming for high-frequency over-the-horizon passive radar

Fabrizio, G.A.; Colone, Fabiola; Lombardo, P.; Farina, A.

doi:10.1049/iet-rsn.2008.0159

Cited by 78 publications

(54 citation statements)

References 18 publications

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“…Note that the outputs of this particular CAF remain in the range-Doppler plane unlike other approaches (see e.g. [4], [5], [6], [7], [8]) using CAF built on a spatial model where the angular parameters increase the output dimension.…”

Section: A a "Blind" Cross-ambiguity Function (Caf)mentioning

confidence: 99%

“…For ground radars, this dominant interference is mostly caused by zero-Doppler contribution (ZDC). Note that space-time approaches based on cross-ambiguity function [4], [5], [6], [7], [8] also recommend a ZDC rejection. For airborne radars, rejection of the Doppler shifted strongest contributions is also required with the risk that some targets of interest (often in practice the slowest moving targets) fall in the rejection band of the filter [9].…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Target Detection Techniques for OFDM-Based Passive Radar Exploiting Spatial Diversity

Chabriel

Barrère

2017

IEEE Trans. Signal Process.

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Abstract-Recently, it has been studied the benefit of using a channel-based detector (CHAD) with a passive radar exploiting OFDM waveforms radiated e.g. by DVB-T transmitters of opportunity. When multiple antennas are available on receive, we state that CHAD can be seen as space-time array-processing performing on a particular coherent frequency datacube. Building on this new interpretation, we propose an improved version of CHAD in the form of a fully dimensional space-time adaptive processing. Optimization of the signal-to-interference-plus-noise ratio is obtained combining a linearly constrained minimum variance (LCMV) space-time adaptive beamforming and a least squares (LS) spatial adaptive filtering. Unlike classical STAP approaches, no training data are here used and only one space-time sample matrix inversion is required. The computational load is then highly reduced allowing a practical deployment. Moreover, since no beamscan in space is performed, the knowledge of array characteristics is not required and the performance shall not be impacted by any calibration errors. Finally, the full set of target signal returns being collected in a single range-Doppler surveillance map, the detection process is then simplified. Results on experimental data show the interests of this new surveillance scheme: no need for a prior rejection of the dominant interference, systematic reduction of secondary lobes, discrimination of slow moving targets.

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Section: A a "Blind" Cross-ambiguity Function (Caf)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive Target Detection Techniques for OFDM-Based Passive Radar Exploiting Spatial Diversity

Chabriel

Barrère

2017

IEEE Trans. Signal Process.

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“…Another hardware methods is adaptive beam forming, in which steering nulls towards the illuminator can lead to canceling the interference; although, the use of array antenna, has more nulls and finally has further canceling [13]. The main problem in these methods is increasing complexity of hardware systems which can be seen in Fig.…”

Section: Literature Workmentioning

confidence: 99%

RFIA: A Novel RF-band Interference Attenuation Method in Passive Radar

Shamaee

Mivehchy

2016

JEEE

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Abstract:Passive radars get benefit from transmitter signals in the environment for target detection. One of the most important challenges in these radars is multipath and direct path interferences that enter the target and reference antennas. This article expressed the types of weakening, and multi-step structure to mitigate the mentioned signals in passive radars. In the RF-band Interference Attenuation (RFIA) Method, at the first step the strongest interference component is mitigated by controlling the phase and amplitude. In next steps, other interference components are similarly nulled. This structure leads to separate mitigation for each interference components. Simulation results show the success of RFIA method to reduce dynamic range of analog-to-digital converter and, accordingly, the number of required bits for this converter.

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“…As in our application, only the frequency component is of concern. Moreover, in radar application environment, the signal is often processed by I/Q decomposition and in complex domain (see, for example [17]). …”

Section: Ed and Cedmentioning

confidence: 99%

Ionospheric decontamination for skywave OTH radar based on complex energy detector

You

Wang

2012

EURASIP J. Adv. Signal Process.

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For over-the-horizon (OTH) radar, the ocean clutter is very strong. And this becomes a big challenge for the target detection. The clutter suppression is a very important procedure for the OTH radar. For the skywave OTH radar, the radar signal will propagate through the ionosphere. This will cause a contamination due to its unstable movement. Then the Bragg frequencies will be smeared and clutter spectrum will spread wider rather than a single line spectra. This smear will cause the target more difficult to be detected and even buried in clutter. Compensation is necessary to cancel the ionospheric effect. This article proposes the clutter decontamination algorithm based on the complex energy detector (CED). The energy detector (ED) is originally proposed to demodulate the real AM-FM signals. The ED is expanded to complex domain. After the expansion, there is no mutual coupling between the amplitude and frequency component for an AM-FM signal. The phase of the Bragg clutter return contaminated by the ionosphere is modeled by a frequency-modulated signal, while its magnitude is amplitude modulated. The CED algorithm is applied to track the instantaneous frequency of the contaminated return signal, which is then used for compensation. Simulation results are presented. The simulation results show that, comparing with the Hankel rank reduction algorithm, the proposed algorithm has better performance under the situation of large frequency fluctuation.

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Adaptive beamforming for high-frequency over-the-horizon passive radar

Cited by 78 publications

References 18 publications

Adaptive Target Detection Techniques for OFDM-Based Passive Radar Exploiting Spatial Diversity

Adaptive Target Detection Techniques for OFDM-Based Passive Radar Exploiting Spatial Diversity

RFIA: A Novel RF-band Interference Attenuation Method in Passive Radar

Ionospheric decontamination for skywave OTH radar based on complex energy detector

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