Micro-Doppler and Micro-Range Detection via Doppler-resilient 802.11ad-Based Vehicle-to-Pedestrian Radar

Duggal, Gaurav; Ram, Shobha Sundar; Mishra, Kumar Vijay

doi:10.1109/radar.2019.8835525

Cited by 18 publications

(17 citation statements)

References 23 publications

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“…As seen in (Kumari et al, 2017a), the velocity estimation in this case is also poor due to the short duration of the probing signal. More recently, a Doppler-resilient variant of GCS (Pezeshki et al, 2008) has been employed to improve the radar performance (Duggal et al, 2020), especially in case of multiple moving point targets or a single target with multiple point scatterers to extract micro-Doppler and micro-range features (Duggal et al, 2019).…”

Section: Ieee 80211ad-based Radarmentioning

confidence: 99%

“…We discuss the modeling with long-range point targets and short-range extended targets with multiple point scatterers. It should be noted that similar analytical frameworks have been extended for V2P and V2I applications by modeling the radar signatures for respective target objects (Duggal et al, 2019;Muns et al, 2019).…”

Section: System and Channel Models For Jcrmentioning

confidence: 99%

“…The V2V JCR model depicted in Figure 2 is appropriate for long-range radar where far-field condition is sufficiently satisfied and a point target assumption is valid. On the other hand, when the target is close to the radar, the received signal is composed of multiple reflections from different parts of the same object (Duggal et al, 2019). An extended target model has been considered in (Duggal et al, 2019) and modifications to IEEE 802.11ad have been proposed to handle realistic radar signatures from pedestrians and vehicles.…”

Section: System Modelmentioning

confidence: 99%

“…On the other hand, when the target is close to the radar, the received signal is composed of multiple reflections from different parts of the same object (Duggal et al, 2019). An extended target model has been considered in (Duggal et al, 2019) and modifications to IEEE 802.11ad have been proposed to handle realistic radar signatures from pedestrians and vehicles. For a target with B point scatterers, the received signal is written as (Duggal et al, 2019):…”

Section: System Modelmentioning

confidence: 99%

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A Survey on Joint Communication-Radar Systems

2021

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Concerns for spectrum congestion have spurred extensive research efforts on efficient spectrum management. Therefore, devising schemes for spectrum sharing between radar and wireless communication systems has become an important area of research. Joint communications-radar (JCR) systems are among the several approaches proposed to achieve this objective. In JCR systems, additional components and processes are added to an existing standardized communication platform to enable radar functions. Moreover, the communication waveform is used as an integrated JCR waveform, i.e., the same signal is used to communicate information to a receiver and to perform radar detection and estimation operations for a nearby target. The most common application of JCR systems is found in vehicle-to-vehicle (V2V) communication scenarios. In this article, an overview of the spectrum sharing methods is presented, with a focus on JCR systems in automotive and other applications. We first review the recent works on IEEE 802.11p- and IEEE 802.11ad-based radars. A basic description of the modeling of a JCR system and channels is presented, followed by discussions on the main components and processes employed in various JCR systems. We are mainly interested in how radar detection and estimation functions are performed in conjunction with the communication receiver functions with minimal alterations to the existing system. At the end of the paper, some performance trade-offs between the communication and radar sub-systems are also discussed.

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Section: Ieee 80211ad-based Radarmentioning

confidence: 99%

Section: System and Channel Models For Jcrmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

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A Survey on Joint Communication-Radar Systems

2021

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“…The swinging motions of a pedestrian's arms and legs, while walking, give rise to distinctive Doppler radar signatures [7–9]. These micro‐Doppler signals are different from those generated by other dynamic bodies on the road such as bicycles and cars and hence can be used for automatic target recognition [10–14].…”

Section: Introductionmentioning

confidence: 99%