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IEEE International Symposium on Antennas and Propagation / INC/USNC-URSI Radio Science Meeting (AP-S/INC-USNC-URSI)

作者： Abedi, Hajar Chia, Xavier Shaker, George Univ Waterloo Waterloo ON Canada Singapore Univ Technol & Design Singapore Singapore

ISBN: (纸本)9798350369908;9798350369915

This paper presents a radar-based in-cabin sensing solution. We introduce a distracted driver detection method that swiftly calibrates to individual users prior to operating a vehicle. Our sensor accurately determines the driver's facing direction and evaluates their level of distraction while driving. Our proposed system overcomes the limitations of image-based sensors without compromising privacy or being affected by varying illumination levels. In contrast to existing systems that necessitate multiple sensors, resulting in a costly technique, our solution requires only a single radar board empowered by AI to monitor distracted drivers.

关键词： contactless driver monitoring in-cabin sensing multiple-input and multiple-output radar and distracted driver detection

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Hallway Gait Monitoring Using Novel radar Signal Processing and Unsupervised Learning

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IEEE SENSORS JOURNAL 2022年第15期22卷 15133-15145页

作者： Abedi, Hajar Boger, Jennifer Morita, Plinio P. Wong, Alexander Shaker, George Univ Waterloo Syst Design Engn Dept Waterloo ON N2L 3G1 Canada Univ Waterloo Sch Publ Hlth Sci Waterloo ON N2L 3G1 Canada Univ Waterloo Elect Engn Dept Waterloo ON N2L 3G1 Canada

We propose a novel corridor or hallway gait monitoring system based on radar signal processing, unsupervised learning, and a subject detection, association and tracking method. This paper proposes an algorithm that could be paired with any type of MIMO FMCW radar to capture human gait in a highly cluttered environment without needing radar antenna alteration. We validate algorithm functionality by capturing spatiotemporal gait values (e.g., speed, step points, step time, step length, and step count) of people walking in a long hallway. We show that our proposed algorithm yields an average absolute error for speed estimation between 0.0040 m/s to 0.0435 m/s. These preliminary results demonstrate the promising potential of our algorithm to accurately monitor gait in hallways, which increases opportunities for its applications in institutional and home environments.

关键词： radar Clutter Signal processing algorithms Legged locomotion Sensors radar antennas Monitoring Contactless monitoring doppler frequency-modulated continuous-wave multipath multiple-input and multiple-output radar gait analysis

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A dilating and embedding scheme for constructing sparse MIMO radar array

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ELECTRONICS LETTERS 2023年第16期59卷 e12904-e12904页

作者： Zhang, Baohua Guo, Yiming Liu, Guangyi Mei, Fengtong Shen, Zhixiang PLA Strateg Support Force Informat Engn Univ Sch Informat & Commun Engn Zhengzhou Henan Peoples R China HeNan Open Univ Sch Informat Engn & Artificial Intelligence Zhengzhou Henan Peoples R China

In this letter, a dilating and embedding scheme for constructing sparse multiple-input and multiple-output radar arrays is addressed, which seeks to increase the uniform degrees of freedom (uDOFs) and reduce the mutual coupling effects for a given number of transmitters and receivers (Tx/Rx). According to this scheme, a dilated maximum inter-element spacing constraint (MISC) array with an embedded thinned coprime array in the collocated MIMO radar for DOA estimation is proposed. Theoretical analysis shows that the proposed array can provide higher uDOFs and is robust in a scenario with heavy levels of mutual coupling. Numerical simulations are conducted to validate its aforementioned advantages in line with the design scheme.

关键词： antenna arrays array signal processing multiple-input and multiple-output radar

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Subarray-based time-delay low sidelobes methods for space-time coding array

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IET radar SONAR AND NAVIGATION 2018年第8期12卷 807-814页

作者： Lan, Lan Liao, Guisheng Xu, Jingwei Zhu, Shengqi Wang, Zhirui Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Shaanxi Peoples R China Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China

A space-time coding array (STCA) system transmits an identical waveform with a small time offset across the array elements. It shares the characteristics of high angular resolution and instant wide angular coverage, leading to the low probability of interception as seen in the traditional multiple-input and multiple-output radar. Angle-time two-dimensional matched filter is required in the STCA. However, the sidelobe level (SLL) of the multi-dimensional ambiguity function in the range and angle domains is not as low as that desired in practical applications and the range resolution decreases as the number of elements increases. Here, two kinds of subarray-based time-delay methods are proposed to improve the resolution and reduce the SLL of the ambiguity function for STCA. Both the regular and irregular subarrays are considered, which increase the degrees of freedom and thus enhance the range resolution. Moreover, the SLL of the ambiguity function is reduced. Simulation results are provided to demonstrate the effectiveness of the proposed methods.

关键词： space-time codes MIMO radar probability matched filters radar resolution subarray-based time-delay low sidelobes method space-time coding array system STCA system probability multiple-input and multiple-output radar angle-time two-dimensional matched filter sidelobe level SLL multidimensional ambiguity function

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Estimation of clutter rank of wideband airborne MIMO radar

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ELECTRONICS LETTERS 2014年第25期50卷 1979-U218页

作者： Li, Ruiyang Li, Jun Luo, Cheng Han, Chunlin Li, Huiyong Univ Elect Sci & Technol China Chengdu 611731 Sichuan Provinc Peoples R China

A convenient formula for the estimation of clutter degrees of freedom is derived in wideband multiple-input and multiple-output (MIMO) radar with frequency diversity waveforms. The estimation of the clutter rank of MIMO radar is extended to the mode of the wideband with the help of the time-bandwidth product lemma;this could be valuable for designing an optimal technique in the application of parameter estimation, target recognition etc. The proposed rule is well verified by simulation results.

关键词： MIMO radar airborne radar parameter estimation radar clutter DOFs clutter degrees of freedom estimation clutter rank estimation frequency diversity waveform multiple-input and multiple-output radar parameter estimation target recognition time-bandwidth product lemma wideband airborne MIMO radar

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An Imaging Method of Maneuvering Target Based on Hybrid Sampling

An Imaging Method of Maneuvering Target Based on Hybrid Samp...

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5th International Congress on Image and Signal Processing (CISP)

作者： Xie, Chao Wang, Li-bao Wang, Dang-wei Ma, Xiao-yan AF Early Warning Acad Wuhan Peoples R China

ISBN: (纸本)9781467309646;9781467309653

Estimating motion parameters of the maneuvering target is a difficult thing currently for most of airborne synthetic aperture radar (SAR) due to the complex motion, which usually results into a defocus-blurred SAR image of the target. To avoid the difficulty, this paper proposes a high-resolution imaging method via airborne multiple-input and multiple-output (MIMO) radar based on a hybrid sampling procedure, where the single snapshot of MIMO radar and the synthetic aperture of SAR are combined. Different from the classical SAR, the novel method only compensates the movement by the geographic information between the target and the airborne radar, not need of the Doppler information. Therefore, the difficulty associated with the Doppler estimation in SAR imaging procedure can effectively be avoided. Simulation results prove the availability of the proposed algorithm for the maneuvering target imaging.

关键词： multiple-input and multiple-output radar synthetic aperture radar (SAR) maneuvering target parameter estimating

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Sparsity-based MIMO radar imaging method

Sparsity-based MIMO radar imaging method

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2011 IEEE CIE International Conference on radar(2011年IEEE国际雷达会议radar 2011)

作者： Dang-Wei Wang A-Lei Chen Jun- Quan Yuan Xiao-Yan Ma Wuhan Radar Academy Wuhan China

The matched filter, as a popular method, has been widely used to image a target in the radar society. Nevertheless, there exists an important difficulty that the resolution of the image produced by the filter can be changed with the variation of the target’s distance. In this paper a distinct imaging algorithm through the exploitation of the sparsity of the received echoes is presented for the multiple-input multiple-output (MIMO) radar imaging application against the difficulty involved in the matched filter. Furthermore, the constrained conditions for the array size and element interval are also presented. Different from the imaging algorithm based on the matched filter, the iterative greedy algorithm is used to image a target in this paper. Due to the exploitation of the sparsity of the received echoes, the cross-range resolution of the roposed algorithm can be higher over the given spatial scope. Numerical simulations are provided for testing our imaging algorithm.

关键词： radar imaging multiple-input and multiple-output radar inverse synthetic aperture radar real aperture radar

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On parameter identifiability of MIMO radar

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IEEE SIGNAL PROCESSING LETTERS 2007年第12期14卷 968-971页

作者： Li, Jian Stoica, Petre Xu, Luzhou Roberts, William Univ Florida Dept Elect & Comp Engn Gainesville FL 32611 USA Uppsala Univ Dept Informat Technol SE-75105 Uppsala Sweden

A multi-input multi-output (MIMO) radar system, unlike a standard phased-array radar, can transmit multiple linearly independent probing signals via its antennas. We show herein that this waveform diversity enables the MIMO radar to significantly improve its parameter identifiability. Specifically, we show that the maximum number of targets that can be uniquely identified by the MIMO radar is up to M-t times that of its phased-array counterpart, where M-t is the number of transmit antennas.

关键词： multiple-input and multiple-output radar parameter estimation parameter identifiability target detection

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