A New Multistatic FMCW Radar Architecture by Over-the-Air Deramping

Ash, Matthew; Ritchie, Matthew; Chetty, Kevin; Brennan, Paul V.

doi:10.1109/jsen.2015.2466477

Cited by 25 publications

(17 citation statements)

References 16 publications

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“…Before high-preCision Acoustic Tracker (CAT) [42] proposes distributed FMCW, traditional FMCW is widely exploited in RF-based localization [1,3,6,17,28]. Traditional FMCW bears a potential peril of the asynchronization between the transmitter and the receiver.…”

Section: Frequency-modulated Continuous Wavementioning

confidence: 99%

Indoor acoustic localization: a survey

Liu

Cheng

Qian

et al. 2020

Hum. Cent. Comput. Inf. Sci.

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Applications of localization range from body tracking, gesture capturing, indoor plan construction to mobile health sensing. Technologies such as inertial sensors, radio frequency signals and cameras have been deeply excavated to locate targets. Among all the technologies, the acoustic signal gains enormous favor considering its comparatively high accuracy with common infrastructure and low time latency. Rangebased localization falls into two categories: absolute range and relative range. Different mechanisms, such as Time of Flight, Doppler effect and phase shift, are widely studied to achieve the two genres of localization. The subcategories show distinguishing features but also face diverse challenges. In this survey, we present a comprehensive overview on various indoor localization systems derived from the various mechanisms. We also discuss the remaining issues and the future work.

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Section: Frequency-modulated Continuous Wavementioning

confidence: 99%

Indoor acoustic localization: a survey

Liu

Cheng

Qian

et al. 2020

Hum. Cent. Comput. Inf. Sci.

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“…To test the efficacy of the FMCW MTI techniques described in this paper, measurements of humans in motion were taken using the UCL-developed Soprano radar system (the radar system is described in full in [19]) under two scenarios. These scenarios include a through-the-wall measurement of a person and measurement of two people in an open field.…”

Section: Mti Performance With Measurement Datamentioning

confidence: 99%

On the Application of Digital Moving Target Indication Techniques to Short-Range FMCW Radar Data

2018

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In this paper, we describe three digital moving target indication (MTI) and moving target segmentation techniques (based on target speed) and apply them to short-range FMCW radar data. The described approaches are applicable to many short-range radar sensors. In particular, we focus on FMCW radar, which are ubiquitous in numerous applications including gesture recognition radar, automotive radar and imaging radar. The three digital MTI filtering methods explored are background subtraction, FIR filtering, and IIR filtering. Each of the methods is implemented in the time domain for simpler logic implementation. We apply the MTI methods on datasets gathered using a Cband FMCW radar in both a short-range, direct line-of-sight scenario and a complex cluttered through wall radar scenario. Based on the analyses, it is shown that each of the MTI techniques are extremely effective when deployed in the right scenario. Background subtraction is found to be well suited for slow-moving targets. FIR and IIR filtering techniques provide the simplest, one-step processes for moving target segmentation.

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“…The radar uses a FMCW architecture operating at C-band with a central frequency of 5.8 GHz. This system was manufactured using commercial off-the-shelf (COTS) surface mount components on an in-house designed PCB [38], [39]. A basic block diagram of the system design can be seen in Figure 1 along with the RF parameters in Table 1.…”

Section: Radar System and Measurement Setupmentioning

confidence: 99%

“…The Direct Digital Synthesiser (DDS) chip used within the system is capable of a bandwidth of 200 MHz but is limited to 83.5 MHz to meet ISM bandwidth regulations in the UK. The system is capable of operating in monostatic or bistatic mode, using an over-the-air deramping (OTAD) technique unique to this radar [38]. However, for all the results presented here the system was only operated in a monostatic configuration.…”

Section: Radar System and Measurement Setupmentioning

confidence: 99%

Through Wall Radar Classification of Human Micro-Doppler using Singular Value Decomposition Analysis

Ritchie

Ash

Chen

et al. 2016

Preprint

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Abstract:The ability to detect the presence as well as classify the activities of individuals behind visually obscuring structures is of significant benefit to police, security and emergency services in many situations. This paper presents the analysis from a series of experimental results generated using a through-the-wall (TTW) Frequency Modulated Continuous Wave (FMCW) C-Band radar system named Soprano. The objective of this analysis was to classify whether an individual was carrying an item in both hands or not using micro-Doppler information from a FMCW sensor. The radar was deployed at a standoff distance, of approximately 0.5 m, outside a residential building and used to detect multiple people walking within a room. Through the application of digital filtering, it was shown that significant suppression of the primary wall reflection is possible, significantly enhancing the target signal to clutter ratio. Singular Value Decomposition (SVD) signal processing techniques were then applied to the micro-Doppler signatures from different individuals. Features from the SVD information have been used to classify whether the person was carrying an item or walking free handed. Excellent performance of the classifier was achieved in this challenging scenario with accuracies up to 94%, suggesting that future through wall radar sensors may have the ability to reliably recognize many different types of activities in TTW scenarios using these techniques.

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A New Multistatic FMCW Radar Architecture by Over-the-Air Deramping

Cited by 25 publications

References 16 publications

Indoor acoustic localization: a survey

Indoor acoustic localization: a survey

On the Application of Digital Moving Target Indication Techniques to Short-Range FMCW Radar Data

Through Wall Radar Classification of Human Micro-Doppler using Singular Value Decomposition Analysis

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