Through-the-wall detection of slow-moving personnel

Martone, Anthony F.; Ranney, Kenneth I.; Innocenti, Roberto

doi:10.1117/12.818513

Cited by 18 publications

(22 citation statements)

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Section: Resultsmentioning

confidence: 99%

“…In previous experimentation, data was collected for multiple scenarios of personnel walking inside wood and cinderblock buildings [3]. During the collection of the data, the SIRE radar remained stationary and was positioned broadside to the wall and 38˚ off the broadside position.…”

Section: Resultsmentioning

confidence: 99%

“…For example, due to false-alarm artifacts, previous results [3] indicate that change detection cannot automatically identify the moving target located in the difference image. The moving target can only be identified through visual inspection of the difference image.…”

Section: Introductionmentioning

confidence: 93%

“…Our previous research [3] discusses multiple scenarios of people walking inside wood and cinderblock structures, and walking in linear and non-linear trajectories (notice that all results are based on experimental data, not on simulations). In all scenarios the slow-moving personnel were detected using the change detection paradigm.…”

Section: Introductionmentioning

confidence: 98%

See 3 more Smart Citations

Automatic through the wall detection of moving targets using low-frequency ultra-wideband radar

Martone

Ranney

Innocenti

2010

2010 IEEE Radar Conference

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This paper presents a time-domain, Moving Target Indication (MTI) processing formulation for detecting slowmoving personnel behind walls. The proposed time-domain MTI processing formulation consists of change detection and automatic target recognition algorithms. We demonstrate the effectiveness of the MTI processing formulation using data collected by an impulse-based, low-frequency, ultra-wideband radar. In this paper, we describe our radar system and algorithms used for the automatic detection of moving personnel. We also analyze the false alarm and detection rate of four operational scenarios of personnel walking inside wood and cinderblock buildings.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 98%

See 2 more Smart Citations

Automatic through the wall detection of moving targets using low-frequency ultra-wideband radar

Martone

Ranney

Innocenti

2010

2010 IEEE Radar Conference

Self Cite

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“…The moving personnel are detected by subtracting the focused images, thereby eliminating the stationary objects and identifying the moving target (MT) signature. The effectiveness of this time domain approach has been demonstrated for people walking inside wood and cinderblock buildings [3].…”

Section: Introductionmentioning

confidence: 99%

Coherent and non-coherent change detection for through the wall sensing of moving targets

Martone

Ranney

2011

2011 IEEE RadarCon (RADAR)

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Abstract-In this paper a novel change detection technique is introduced and used to process modeling and measurement data of a person walking inside a building. The proposed change detection technique is based on non-coherent change detection. The MT signature, back-wall shadow, front-wall response, and sidelobe-artifact suppression generated by the proposed algorithm are analyzed and compared with those generated by coherent change detection. It will be shown that the proposed algorithm greatly attenuates imaging artifacts while preserving the MT signature.

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Sparsity‐based autoencoders for denoising cluttered radar signatures

Ram

Vishwakarma

Sneh

et al. 2021

IET Radar Sonar & Navi

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Narrowband and broadband indoor radar images significantly deteriorate in the presence of target-dependent and target-independent static and dynamic clutter arising from walls. A stacked and sparse denoising autoencoder (StackedSDAE) is proposed for mitigating the wall clutter in indoor radar images. The algorithm relies on the availability of clean images and the corresponding noisy images during training and requires no additional information regarding the wall characteristics. The algorithm is evaluated on simulated Doppler-time spectrograms and high-range resolution profiles generated for diverse radar frequencies and wall characteristics in around-the-corner radar (ACR) scenarios. Additional experiments are performed on range-enhanced frontal images generated from measurements gathered from a wideband radio frequency imaging sensor. The results from the experiments show that the StackedSDAE successfully reconstructs images that closely resemble those that would be obtained in free space conditions. Furthermore, the incorporation of sparsity and depth in the hidden layer representations within the autoencoder makes the algorithm more robust to low signal-to-noise ratio (SNR) and label mismatch between clean and corrupt data during training than the conventional single-layer DAE. For example, the denoised ACR signatures show a structural similarity above 0.75 to clean free space images at SNR of −10 dB and label mismatch error of 50%.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Through-the-wall detection of slow-moving personnel

Cited by 18 publications

References 0 publications

Automatic through the wall detection of moving targets using low-frequency ultra-wideband radar

Automatic through the wall detection of moving targets using low-frequency ultra-wideband radar

Coherent and non-coherent change detection for through the wall sensing of moving targets

Sparsity‐based autoencoders for denoising cluttered radar signatures

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