Near Range Radar Imaging Based on Block Sparsity and Cross-Correlation Fusion Algorithm

Feng, Weike; Yi, Li; Suzuki, Motoyuki

doi:10.1109/jstars.2018.2797056

Cited by 25 publications

(13 citation statements)

References 40 publications

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“…The eight transmitting antennas are fixed in the middle of the array, and the eight receiving antennas are separately fixed on the upper and lower sides of the array (shown in Figure 1). [27,28]. Moreover, considering the effect of walls on the refraction and velocity of EM waves, an improved BP-based algorithm is proposed in Section 3.…”

Section: Uwb Mimo Radar Systemmentioning

confidence: 99%

“…Strong artifacts make weak targets undetectable and artifacts of many targets produce spurious peaks, leading to negative effects on 2D imaging. In order to effectively suppress artifacts, the cross-correlation-based TDBP (CC-TDBP) algorithm is applied [27,28], which can be expressed as…”

Section: Sfcw Signal Model and Conventional Bp Algorithmmentioning

confidence: 99%

“…However, reconstructed images of targets by the BP method may have some artifacts. In this paper, the cross-correlation-based time-domain BP algorithm (CC-TDBP) is applied to suppress artifacts [27,28]. Moreover, considering the effect of walls on the refraction and velocity of EM waves, an improved BP-based algorithm is proposed in Section 3.…”

Section: Introductionmentioning

confidence: 99%

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Design and Analysis of a UWB MIMO Radar System with Miniaturized Vivaldi Antenna for Through-Wall Imaging

Zeng

Wang

et al. 2019

Remote Sensing

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The ultra-wideband (UWB) multi-input multi-output (MIMO) radar technique is playing a more and more important role in the application of through-wall detection because of its high resolution, lower antenna requirements, and efficient data capturing ability. This paper develops a novel UWB MIMO radar system using a stepped-frequency continuous-wave (SFCW) signal, which is designed to detect human targets behind the regular brick and concrete wall. In order to balance high range resolution and wall-penetration depth, a novel miniaturized Vivaldi antenna with desired bandwidth of 0.5–2.5 GHz was designed, simulated, manufactured, and successfully used in through-wall imaging. To suppress the artifacts in the focused image and reduce the computing complexity, the cross-correlation-based time domain back projection (CC-TDBP) algorithm was developed. In addition, a through-wall imaging model was established, based on which the effects of the wall on the refraction of electromagnetic (EM) waves and the reduction of velocity are compensated. Finally, different experiments were conducted for multiple stationary targets utilizing the designed radar system, and the improved BP-based algorithms are applied to focus the targets behind the wall more accurately. The reconstructed two-dimensional (2D) images illustrate that the designed MIMO radar system can successfully detect and image human targets in the air and behind the wall.

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Section: Uwb Mimo Radar Systemmentioning

confidence: 99%

Section: Sfcw Signal Model and Conventional Bp Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Design and Analysis of a UWB MIMO Radar System with Miniaturized Vivaldi Antenna for Through-Wall Imaging

Zeng

Wang

et al. 2019

Remote Sensing

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“…where During the coherent summation of the range-compressed signal from all the antenna positions, many high-level artifacts will be produced by BP algorithm. It has been shown in [36] that the cross-correlation based BP (called as CC-BP in this paper) algorithm can effectively suppress the artifacts. Therefore, in this paper, the CC-BP algorithm is applied to estimate the reflection coefficients of targets, which can be expressed as…”

Section: Anm Based Dpi Suppressionmentioning

confidence: 99%

Direct path interference suppression for short‐range passive bistatic synthetic aperture radar imaging based on atomic norm minimisation and Vandermonde decomposition

Feng

Friedt

Cherniak

et al. 2019

IET Radar, Sonar & Navigation

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A novel direct path interference (DPI) suppression method is proposed in this paper for passive bistatic synthetic aperture radar (SAR) imaging applications. Conventional time-domain processing methods cannot mitigate the DPI completely and will introduce errors into the target position estimation. By exploiting the sparsity of the DPI signal and the properties of its covariance matrix, the proposed method solves these problems by accurately estimating the time delay of DPI based on the atomic minimization algorithm and Vandermonde decomposition in the frequency domain. The amplitude of DPI is then calculated by the least squares method. Simulations and experimental results of Wireless Fidelity (WiFi) based passive bistatic SAR imaging of short-range targets show that the proposed method can suppress DPI more effectively and estimate the position of the target more accurately than the classical method.

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“…Compared to spaceborne/air-borne SAR, it can continuously monitor the scene of interest with a much shorter revisiting period (from several seconds to tens of minutes). Besides, its data acquisition rate can be further increased by using one-dimensional (1D) or two-dimensional (2D) multiple input multiple output (MIMO) array, which has drawn attention in the last decade [9][10][11][12][13]. Moreover, GB-SAR can easily obtain higher system flexibility.…”

Section: Introductionmentioning

confidence: 99%

Passive Bistatic Ground-Based Synthetic Aperture Radar: Concept, System, and Experiment Results

et al. 2019

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A passive bistatic ground-based synthetic aperture radar (PB-GB-SAR) system without a dedicated transmitter has been developed by using commercial-off-the-shelf (COTS) hardware for local-area high-resolution imaging and displacement measurement purposes. Different from the frequency-modulated or frequency-stepped continuous wave signal commonly used by GB-SAR, the continuous digital TV signal broadcast by a geostationary satellite has been adopted by PB-GB-SAR. In order to increase the coherence between the reference and surveillance channels, frequency and phase synchronization of multiple low noise blocks (LNBs) has been conducted. Then, the back-projection algorithm (BPA) and the range migration algorithm (RMA) have been modified for PB-GB-SAR to get the focused SAR image. Field experiments have been carried out to validate the designed PB-GB-SAR system and the proposed methods. It has been found that different targets within 100 m (like the fence, light pole, tree, and car) can be imaged by the PB-GB-SAR system. With a metallic plate moved on a positioner, it has been observed that the displacement of the target can be estimated by PB-GB-SAR with submillimeter accuracy.

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Near Range Radar Imaging Based on Block Sparsity and Cross-Correlation Fusion Algorithm

Cited by 25 publications

References 40 publications

Design and Analysis of a UWB MIMO Radar System with Miniaturized Vivaldi Antenna for Through-Wall Imaging

Design and Analysis of a UWB MIMO Radar System with Miniaturized Vivaldi Antenna for Through-Wall Imaging

Direct path interference suppression for short‐range passive bistatic synthetic aperture radar imaging based on atomic norm minimisation and Vandermonde decomposition

Passive Bistatic Ground-Based Synthetic Aperture Radar: Concept, System, and Experiment Results

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