Performance degradation in cooperative radar sensor systems due to Uncorrelated Phase Noise

Frischen, Andreas; Hasch, Jürgen; Waldschmidt, Christian

doi:10.1109/eurad.2014.6991252

Cited by 22 publications

(12 citation statements)

References 9 publications

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“…Cooperative operation of multiple sensors promises a better detection of objects, e.g. when strong mirroring reflections occur, as well as achieving a larger field-ofview [24].…”

Section: F Cooperation and Communicationmentioning

confidence: 99%

Driving towards 2020: Automotive radar technology trends

Hasch

2015

2015 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)

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In the last few years automotive radar has been transformed from being a niche sensor to becoming standard even in middle-class cars. With Euro-NCAP ratings now requiring automated braking and pedestrian safety functionality, radar is often identified as the best suited sensor for this purpose. Additionally, future automated driving will require detailed and highly reliable information on the environment and surrounding street traffic. This requires radar sensors to provide more detailed information about the environment, foremost in the spatial domain. Automotive radar has always benefited significantly from technological advances, especially in semiconductor technology and packaging, allowing a better performance and much more functionality in the radar frontend. A second key area is the antenna system, where new concepts to acquire more information about signals reflected from the environment can significantly improve resolution and detection performance.

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“…Cooperative operation of multiple sensors promises a better detection of objects, e.g. when strong mirroring reflections occur, as well as achieving a larger field-ofview [24].…”

Section: F Cooperation and Communicationmentioning

confidence: 99%

Driving towards 2020: Automotive radar technology trends

Hasch

2015

2015 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)

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“…larger distances lead to lower frequencies. The effective phase noise term φ 0,m,n (t) = φ 0,m (t) − φ 0,n (t − τ n,k,m ) has been analyzed in [4].…”

Section: B Processing Of Bistatic Responsementioning

confidence: 99%

“…An analytical signal model for the cooperative operation of M stations based on the FMCW modulation has been introduced in [4] and is shortly recapitulated and adapted to the system setup of this work in the following.…”

Section: A Signal Modelmentioning

confidence: 99%

“…It is demonstrated that this information can be used to distinguish between small and extended targets (point and planar scatterers, respectively) by comparison with the expected bistatic distance deduced geometrically. The performance of this technique is evaluated for different phase noise conditions according to the model introduced in [4].…”

Section: Introductionmentioning

confidence: 99%

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Contour recognition with a cooperative distributed radar sensor network

Frischen

Hasch

Waldschmidt

2015

2015 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)

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Cooperative Radar Sensor Systems operate several radar sensors with independent generation in a distributed network. Evaluating the cross-echo distances (bistatic responses), additional information about the target's contour can be gained, as the locations of further reflection points of the target can be estimated. In this paper, a system model with several singlechannel stations is introduced, which enables to distinguish between spherical (point scatterers) and planar objects. For this model, the complete signal processing chain to process the bistatic response is presented. Criteria to distinguish between point and planar scatterers are derived from geometrical deliberations. The technique is demonstrated in a measurement setup with an arbitrary waveform generator (AWG) as the signal source for two stations. Results are discussed for varying phase noise parameters. The measurements reveal that the presented method enables contour classification of objects under strict phase noise requirements.

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“…In contrast, bistatic measurements are dramatically affected by PN as the LO signals are generated individually on each MMIC. Thus, very challenging requirements in PN performance of the TX signals have to be fulfilled to be able to evaluate bistatic distance measurements [3], [4]. Recent works also showed that it is possible to achieve signal coherency using adapted modulations and signal processing algorithms.…”

Section: Introductionmentioning

confidence: 99%

Phase Noise Mitigation for Multistatic FMCW Radar Sensor Networks Using Carrier Transmission

Dürr¹,

Schweizer²,

Bechter³

et al. 2018

IEEE Microw. Wireless Compon. Lett.

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For incoherent radar sensor networks it is desirable to perform both monostatic and bistatic distance measurements. Especially the bistatic measurements enable to achieve additional information about a target. As for bistatic measurements different local oscillators (LO) are used for system operation, the phase noise (PN) at the receiving (RX) sensor node is uncorrelated to the PN of the transmitter (TX). This effect usually degrades the signal-to-noise ratio (SNR) for bistatic measurements in comparison to monostatic measurements. This letter briefly discusses the problem of PN correlation in bistatic distance measurements and proposes a novel system approach that mitigates phase errors between TX and RX oscillators. The proposed concept is mathematically derived and proven with measurements using a radar demonstrator at 77 GHz.

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Performance degradation in cooperative radar sensor systems due to Uncorrelated Phase Noise

Cited by 22 publications

References 9 publications

Driving towards 2020: Automotive radar technology trends

Driving towards 2020: Automotive radar technology trends

Contour recognition with a cooperative distributed radar sensor network

Phase Noise Mitigation for Multistatic FMCW Radar Sensor Networks Using Carrier Transmission

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