Analytical and Experimental Investigations on Mitigation of Interference in a DBF MIMO Radar

Bechter, Jonathan; Rameez, Muhammad; Waldschmidt, Christian

doi:10.1109/tmtt.2017.2668404

Cited by 60 publications

(33 citation statements)

References 12 publications

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“…There is one special issue concerning DBF in linear frequency modulated radars. As these systems typically do not have an I-Q receiver, the interference energy is spread over multiple directions of arrival because of the image frequency of the interfering signal [86].…”

Section: Spatial Masking Of Interference Sourcesmentioning

confidence: 99%

See 1 more Smart Citation

Radar Sensors for Autonomous Driving: Modulation Schemes and Interference Mitigation

Roos¹,

Bechter²,

Knill³

et al. 2019

IEEE Microwave

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134

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Section: Spatial Masking Of Interference Sourcesmentioning

confidence: 99%

“…The interference affects only the physical receive array and not the whole virtual aperture. Therefore, interference can only be canceled within the physical receive aperture[86].…”

mentioning

confidence: 99%

Radar Sensors for Autonomous Driving: Modulation Schemes and Interference Mitigation

Roos¹,

Bechter²,

Knill³

et al. 2019

IEEE Microwave

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134

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“…Among them: 1) zeroing or inverse windowing the interferencecontaminated parts of the signal in the time domain as in [10] and [11]. Inverse windowing the detected interference regions was proposed in [8]; 2) using waveform-diversity and receiver-architecturediversity techniques to avoid the interference (e.g., frequency ramp modulation [12], frequency hopping [13], and [14], digital beam forming for interference suppression [15]; 3) interference reconstruction and cancelation techniques [16]; 4) sparse sampling techniques in [17] (where interference detection is done by monitoring target peakpower threshold levels against the interference-induced noise, then mitigation is done by reconstructing the interference-free signal using a sparse-signal recovery algorithm); and-most recently-in [18]. While zeroing a part of the beat-frequency signal is the simplest interference suppression method, it causes signal phase discontinuity, which results in-after performing the range-compression FFT-target-response broadening in range and high-residual sidelobes.…”

Section: An Interference Mitigation Technique For Fmcwmentioning

confidence: 99%

An Interference Mitigation Technique for FMCW Radar Using Beat-Frequencies Interpolation in the STFT Domain

Neemat

Krasnov

Yarovoy

2019

IEEE Trans. Microwave Theory Techn.

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A frequency-modulated continuous-wave (FMCW) radar interference mitigation technique using the interpolation of beat frequencies in the short-time Fourier transform (STFT) domain, phase matching, and reconfigurable linear prediction coefficients estimation for Coherent Processing Interval processing is proposed. The technique is noniterative and does not rely on algorithm convergence. It allows the usage of the fast Fourier transform (FFT) as the radar's beat-frequency estimation tool, for reasons such as real-time implementation, noise linearity after the FFT, and compatibility with legacy receiver architectures. Verification is done in range and in range-Doppler using radar experimental data in two ways: first by removing interferences from interference-contaminated data and second by using interference-free data as the reference data, and processing it-as if it had interferences-using the proposed technique, inverse cosine windowing and zeroing for comparison. We found that processing with the proposed technique closely matches the reference-data and outperforms the inverse cosine windowing and zeroing techniques in 2-D cross correlation, amplitude, and phase average errors and phase root-mean-square error. It is expected that the proposed technique will be operationally deployed on the TU Delft simultaneous-polarimetric PARSAX radar. Index Terms-Frequency-modulated continuous wave (FMCW), linear prediction (LP), multiple-input and multipleoutput radars, polarimetric radars, radar interference mitigation techniques. I. INTRODUCTION F REQUENCY-modulated continuous-wave (FMCW) radars might suffer from interferences from other radars operating within their vicinity, as in multiple-input and multiple-output radar networks and in automotive scenarios, or from themselves as in the case of fully polarimetric radars with dual-orthogonal signals [1], where there is a leakage between two mutually orthogonal channels (cross-channel interference). In deramp FMCW radars (stretch-processing), targets' range is deduced from beat-frequency estimation. Processing interference-contaminated beat frequencies with fast Fourier transforms (FFTs) yields poorer radar detection, due to undesired artifacts such as a noise-floor level increase in range

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“…9b ( ). This is happening because of the image frequency problem discussed in [12]: the receiver is limited to real valued signals, so that the power of interfering signals is distributed towards multiple DoAs. For further clarification we calibrate the received data with the complex conjugate phases and again perform a DoA estimation.…”

Section: Adbf Adbf Adbfmentioning

confidence: 99%

Blind Adaptive Beamforming for Automotive Radar Interference Suppression

Bechter¹,

Demirlika²,

Hügler³

et al. 2018

2018 19th International Radar Symposium (IRS)

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Radar sensors offer enormous advantages as sensing devices for automated and autonomous driving. However, when multiple of such sensors are operated in a large number of cars, there is a high risk of the occurrence of mutual interferences. In the currently widespread linearly frequency modulated sensors these interferences reduce the detection performance, especially for targets with a low radar cross section. In this paper the interference effects are suppressed with an adaptive beamforming scheme based on a mean square error minimization. The paper evaluates the algorithm with the help of a simulated and measured scenario, and discusses the occurring interference effects and the benefits of the beamforming approach.

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Analytical and Experimental Investigations on Mitigation of Interference in a DBF MIMO Radar

Cited by 60 publications

References 12 publications

Radar Sensors for Autonomous Driving: Modulation Schemes and Interference Mitigation

Radar Sensors for Autonomous Driving: Modulation Schemes and Interference Mitigation

An Interference Mitigation Technique for FMCW Radar Using Beat-Frequencies Interpolation in the STFT Domain

Blind Adaptive Beamforming for Automotive Radar Interference Suppression

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