Through-the-wall detection of human activities using a noise radar with microwave quadrature correlator

Susek, W.; Stec, B.

doi:10.1109/taes.2014.130003

Cited by 23 publications

(11 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to radar architecture, existing TWI radar systems can be classified into five types: continuous-wave radar, impulse radar, frequency-modulated continuous-wave radar, stepped-frequency continuous-wave radar, and random noise radar. Among these, random noise TWI radar has attracted increasing attention due to its inherent unambiguous high-resolution performance, low probability of detection/interception, and good anti-jamming ability [2][3][4]. Chaotic signal is noise-like but deterministic in nonlinear dynamical systems.…”

Section: Introductionmentioning

confidence: 99%

Improved Clutter Removal by Robust Principal Component Analysis for Chaos Through-Wall Imaging Radar

et al. 2019

View full text Add to dashboard Cite

Chaos through-wall imaging radar has attracted wide attention due to its inherent low probability of detection/interception, strong anti-jamming, and high resolution. However, the target response is usually overwhelmed by strong clutter. This paper proposes an imaging-then-decomposition method based on two-stage robust principal component analysis (RPCA) to remove the clutter and recover the target image. The proposed method firstly focuses the energy of the preprocessing data by the back-projection imaging algorithm; then, it performs matrix decomposition on the full and the sparse component of the focused data, in succession, by the RPCA algorithm. Simulation and experimental results show that the proposed method can suppress the clutter dramatically and indicate human targets distinctly. Compared with the traditional methods, it has effectiveness and superiority in improving the signal-to-clutter ratio.

show abstract

Section: Introductionmentioning

confidence: 99%

Improved Clutter Removal by Robust Principal Component Analysis for Chaos Through-Wall Imaging Radar

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Currently, owing to the increasing availability of specialized high-performance processors and general-purpose platforms such as FPGAs (field-programmable gate arrays) and due to the availability of fast high-resolution analogue-to-digital converters, it has become possible to build noise radars equipped with digital receivers designed for various applications. The subject literature includes research on the use of noise radars in ultra-wideband SAR/ISAR (synthetic aperture radar/inverse synthetic aperture radar) systems [ 4 ], to conduct Doppler measurements [ 5 ], in anti-collision systems, in polarimetric measurements to detect objects hidden underground [ 6 ], and to detect micrometric distance changes, heartbeat, or chest movements in living organisms [ 3 , 7 ]. The use of signal processors with range-Doppler detection for real-time signal processing has increased the functionality of noise radars.…”

Section: Introductionmentioning

confidence: 99%

Theory and Measurement of Signal-to-Noise Ratio in Continuous-Wave Noise Radar

Stec

Susek

2018

Sensors

Self Cite

View full text Add to dashboard Cite

Determination of the signal power-to-noise power ratio on the input and output of reception systems is essential to the estimation of their quality and signal reception capability. This issue is especially important in the case when both signal and noise have the same characteristic as Gaussian white noise. This article considers the problem of how a signal-to-noise ratio is changed as a result of signal processing in the correlation receiver of a noise radar in order to determine the ability to detect weak features in the presence of strong clutter-type interference. These studies concern both theoretical analysis and practical measurements of a noise radar with a digital correlation receiver for 9.2 GHz bandwidth. Firstly, signals participating individually in the correlation process are defined and the terms signal and interference are ascribed to them. Further studies show that it is possible to distinguish a signal and a noise on the input and output of a correlation receiver, respectively, when all the considered noises are in the form of white noise. Considering the above, a measurement system is designed in which it is possible to represent the actual conditions of noise radar operation and power measurement of a useful noise signal and interference noise signals—in particular the power of an internal leakage signal between a transmitter and a receiver of the noise radar. The proposed measurement stands and the obtained results show that it is possible to optimize with the use of the equipment and not with the complex processing of a noise signal. The radar parameters depend on its prospective application, such as short- and medium-range radar, ground-penetrating radar, and through-the-wall detection radar.

show abstract

“…Since noise signals are featureless and have delta-like autocorrelation functions, random noise radars possess several advantages, such as low probability of detection, low probability of interception, immunity to interference and jamming, and high spectrum efficiency, the last two of which are beneficial for life detection applications. Therefore, some noise or pseudo-noise (PN) life detection radars have been proposed [31,32,33,34]. Sachs et al [31,32] presented a UWB M-sequence radar for rescue operations in post-disaster scenarios, and later proposed a M-sequence-based UWB sensor network for vitality monitoring of elders at home.…”

Section: Introductionmentioning

confidence: 99%

“…Xia et al [33] proposed a modulated M-sequence UWB life detection radar, which utilizes pulse compression and a linear average to improve the signal-to-noise ratio (SNR), and a hybrid sampling technique to improve the sampling resolution. Susek et al [34] demonstrated a noise radar with a microwave quadrature correlator receiver, which can precisely and simultaneously detect live human activities like breathing and heartbeats, and their position.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Life Detection and Localization Using a Wideband Chaotic Signal with an Embedded Tone

Liu

Guo

et al. 2016

Sensors

View full text Add to dashboard Cite

A hybrid life detection radar system which transmits a wideband chaotic signal containing an embedded single-tone is proposed. The chaotic signal is used for target localization by the time-domain correlation method and synthetic aperture technique, and the single-tone signal is used to measure the frequencies of breathing and heartbeat based on an on-chip split-ring integrated sensor and Michelson interference principle. Experimental results in free space and in through-wall scenarios demonstrate that the system can realize human detection and localization simultaneously with high range resolution, high sensitivity, and large dynamic range without complex signal processing. The range resolution is about 10 cm, and the dynamic range is 35 dB for the respiration signal detection and 25 dB for the heartbeat signal detection. Due to its good immunity to interference/jamming and high spectrum efficiency, the proposed system is suitable for post-disaster rescue, elder/infant/patient vitality monitoring, and anti-terrorism enforcement applications.

show abstract

Through-the-wall detection of human activities using a noise radar with microwave quadrature correlator

Cited by 23 publications

References 26 publications

Improved Clutter Removal by Robust Principal Component Analysis for Chaos Through-Wall Imaging Radar

Improved Clutter Removal by Robust Principal Component Analysis for Chaos Through-Wall Imaging Radar

Theory and Measurement of Signal-to-Noise Ratio in Continuous-Wave Noise Radar

Simultaneous Life Detection and Localization Using a Wideband Chaotic Signal with an Embedded Tone

Contact Info

Product

Resources

About