Real time indoor presence detection with a novel radar on a chip

Deiana, Daniela; Suijker, E.M.; Bolt, R.J.; Maas, A.P.M.; Vlothuizen, Wouter; Kossen, A.S.

doi:10.1109/radar.2014.7060375

Cited by 13 publications

(4 citation statements)

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“…As the applications of smart home services are experiencing an appreciable growth in recent years, the microwave motion sensor system used for human body sensing has become an attractive solution for the realization of indoor intelligent services [1]. A microwave sensor is able to detect humans in a certain range [2], thus providing necessary data for the control strategy of smart home services.…”

Section: Introductionmentioning

confidence: 99%

Rigorous Analysis and Design of Resistor-Loaded Patch Antennas with Flexible Gain for Indoor Radar Sensors

Yu,

Zhang,

et al. 2024

ACES Journal

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A high-precision cavity model of resistor-loaded patch antenna (RLPA) with adjustable gain is proposed and rigorously studied in this article. In our analysis, the loaded resistors are perceived as controlled current sources, thus the RLPA can be solved as a modified cavity model. Accurate expressions of field distribution, input impedance, and radiation patterns are derived in this way, and a gratifying agreement has been achieved between the calculated and simulated results. Based on this approach, RLPAs for indoor motion radar are designed and analyzed. Comprehensive analysis is conducted to reveal the loading effect on radiation gain, radiation efficiency, and quality factor of RLPAs under various circumstances. Through altering the value of the loaded resistance, its radiation gain and coverage range can be flexibly adjusted. Besides, enhanced operating bandwidth and improved performance stability are also achieved due to the loaded resistors. Last but not least, several indoor motion radars based on the proposed patches are carried out and measured, which demonstrates the validity of the proposed method and design.

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Section: Introductionmentioning

confidence: 99%

Rigorous Analysis and Design of Resistor-Loaded Patch Antennas with Flexible Gain for Indoor Radar Sensors

Yu,

Zhang,

et al. 2024

ACES Journal

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“…The topic of human presence detection using radars had been studied before both in the context of moving and stationary subjects. In [ 1 ], the authors showed the possibility of presence detection with a FMCW 24 GHz radar and compared it to passive-infrared (PIR) measurements. They utilized an energy detector on the range-Doppler map to decide whether a target is present or not, and did not deal with complete stationary or sleeping targets.…”

Section: Introductionmentioning

confidence: 99%

Radar-Based, Simultaneous Human Presence Detection and Breathing Rate Estimation

Regev

Wulich

2021

Sensors

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Human presence detection is an application that has a growing need in many industries. Hotel room occupancy is critical for electricity and energy conservation. Industrial factories and plants have the same need to know the occupancy status to regulate electricity, lighting, and energy expenditures. In home security there is an obvious necessity to detect human presence inside the residence. For elderly care and healthcare, the system would like to know if the person is sleeping in the room, sitting on a sofa or conversely, is not present. This paper focuses on the problem of detecting presence using only the minute movements of breathing while at the same time estimating the breathing rate, which is the secondary aim of the paper. We extract the suspected breathing signal, and construct its Fourier series (FS) equivalent. Then we employ a generalized likelihood ratio test (GLRT) on the FS signal to determine if it is a breathing pattern or noise. We will show that calculating the GLRT also yields the maximum likelihood (ML) estimator for the breathing rate. We tested this algorithm on sleeping babies as well as conducted experiments on humans aged 12 to 44 sitting on a chair in front of the radar. The results are reported in the sequel.

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“…Unlike other types of radars, the FMCW radar has the advantage of being able to detect multiple targets. For this reason, the FMCW radar is used as a suitable sensor to detect indoor objects [ 15 , 16 , 17 , 18 , 19 , 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

Signal Expansion Method in Indoor FMCW Radar Systems for Improving Range Resolution

Baek

Jung

Lee

2021

Sensors

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As various unmanned autonomous driving technologies such as autonomous vehicles and autonomous driving drones are being developed, research on FMCW radar, a sensor related to these technologies, is actively being conducted. The range resolution, which is a parameter for accurately detecting an object in the FMCW radar system, depends on the modulation bandwidth. Expensive radars have a large modulation bandwidth, use the band above 77 GHz, and are mainly used as in-vehicle radar sensors. However, these high-performance radars have the disadvantage of being expensive and burdensome for use in areas that require precise sensors, such as indoor environment motion detection and autonomous drones. In this paper, the range resolution is improved beyond the limited modulation bandwidth by extending the beat frequency signal in the time domain through the proposed Adaptive Mirror Padding and Phase Correction Padding. The proposed algorithm has similar performance in the existing Zero Padding, Mirror Padding, and Range RMSE, but improved results were confirmed through the ρs indicating the size of the side lobe compared to the main lobe and the accurate detection rate of the OS CFAR. In the case of ρs, it was confirmed that with single targets, Adaptive Mirror Padding was improved by about 3 times and Phase Correct Padding was improved by about 6 times compared to the existing algorithm. The results of the OS CFAR were divided into single targets and multiple targets to confirm the performance. In single targets, Adaptive Mirror Padding improved by about 10% and Phase Correct Padding by about 20% compared to the existing algorithm. In multiple targets, Phase Correct Padding improved by about 20% compared to the existing algorithm. The proposed algorithm was verified through the MATLAB Tool and the actual FMCW radar. As the results were similar in the two experimental environments, it was verified that the algorithm works in real radar as well.

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Real time indoor presence detection with a novel radar on a chip

Cited by 13 publications

References 0 publications

Rigorous Analysis and Design of Resistor-Loaded Patch Antennas with Flexible Gain for Indoor Radar Sensors

Rigorous Analysis and Design of Resistor-Loaded Patch Antennas with Flexible Gain for Indoor Radar Sensors

Radar-Based, Simultaneous Human Presence Detection and Breathing Rate Estimation

Signal Expansion Method in Indoor FMCW Radar Systems for Improving Range Resolution

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