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CIE International Conference on radar (radar)

作者： Zhuang, Sharma Wang, Zhengyou Fang, Qingyuan Wang, Hui Shijiazhuang Tiedao Univ Sch Informat Sci & Technol Shijiazhuang 050043 Hebei Peoples R China

ISBN: (纸本)9781509048281

With developments in the field of radar and communications, spectrum is a scarce resource nowadays. multiple-input multiple-output (MIMO) radars, especially those operating in UHF and HF bands, are increasingly influenced by narrow band interferences. Sparse frequency waveform with narrow notches sparsely located among a wide frequency band is a preferred solution to this problem. This paper deals with the orthogonal sparse frequency waveforms design for MIMO radar. The optimal waveforms are determined according to the following criteria: matching the demanded power spectrum density (PSD) and minimizing the cross-correlation energy and off-peak auto-correlation energy. In addition, the constraints of the finite transmitting energy and low peak-to-average power ratio (PAPR) which are highly desirable in practice are also taken into consideration. An efficient two-stage alternating projection algorithm is proposed to solve the optimization problem. The optimal frequency spectrums satisfying the PSD and correlation property (CP) requirements are figured out in Stage 1. And then the optimum waveforms are fitted under the transmitting energy and PAPR constraints in Stage 2. Simulations are performed to verify the effectiveness and superiority of the proposed approach.

关键词： multiple-input multiple-output radar orthogonal sparse frequency waveform power spectrum density peak-to-average power ratio two-stage alternating projection algorithm

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Target Models and Waveform Design for Detection in MIMO radar

Target Models and Waveform Design for Detection in MIMO Rada...

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IEEE radar Conference (radar)

作者： Tang, Jun Tang, Bo Zheng, Lizhong Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China MIT Dept Elect Engn & Comp Sci Cambridge MA 02139 USA

ISBN: (纸本)9781424489022

In this paper, we propose a general target model for multiple-input multiple-output(MIMO) radar. Three types of targets are presented. For each type of target, we develop a corresponding optimum waveform designing method to optimize detection performance. Based on Chernoff-Stein lemma, we use relative entropy as the performance measure. We show that the optimum waveform designing method can obtain better detection performance than traditional orthogonal waveform designing method.

关键词： Chernoff-Stein lemma Entropy MIMO radar MIMO radar MIMO radar Matrix decomposition Optimization Receivers Scattering Transmitters multiple-input multiple-output radar optimum waveform designing method radar tracking relative entropy target model target tr

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Design and Calibration of a Portable 24-GHz 3-D MIMO FMCW radar with a Non-uniformly Spaced Array and RF Front-End Coexisting on the Same PCB Layer 13

Design and Calibration of a Portable 24-GHz 3-D MIMO FMCW Ra...

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13th IEEE Dallas Circuits and Systems Conference (DCAS)

作者： Peng, Zhengyu Nallabolu, Prateek Li, Changzhi Texas Tech Univ Dept Elect Engn Lubbock TX 79409 USA

ISBN: (纸本)9781538692622

This paper presents a portable 24-GHz multiple-input multiple-output (MIMO) radar with 16 transmit (Tx) channels and 16 receive (Rx) channels. The radar is intended for short-range localization and three-dimensional (3-D) imaging by detecting the ranges, azimuth angles, and zenith angles of targets in front of the radar. The radar is capable of two-dimensional (2-D) beamforming achieved using a non-uniformly spaced planar array. A prototype of this 16x16 radar has been built to demonstrate its short-range localization capability.

关键词： Frequency-modulated continuous-wave radar multiple-input multiple-output radar planar arrays time-division multiplexing

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Spatial multiplexing gain in MIMO radars with widely separated antennas

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IET SIGNAL PROCESSING 2018年第2期12卷 207-213页

作者： Majd, Mohammad Nazari Radmard, Mojtaba Chitgarha, Mohammad Mahdi Farina, Alfonso Bastani, Mohammad Hassan Nayebi, Mohammad Mahdi Sharif Univ Technol Dept Elect Engn Tehran Iran Selex ES Rome Italy

multiple-input multiple-output (MIMO) radars have attracted much attention for their superior ability to enhance a system's performance. In this study, the authors' goal was the study of the spatial multiplexing gain of MIMO radars with widely separated antennas (WS-MIMO), which the authors showed that is equal to the number of unambiguously detectable targets. They obtained this number from two different aspects: first, by defining the ambiguity function of a WS-MIMO radar in the case of multiple targets, suitable for such purpose;Second, by modelling the MIMO radar system with a MIMO wireless channel. They showed that a MIMO radar is indeed a MIMO wireless system communicating the information about the existence of the targets. By such modelling, they could easily make the relation between dual concepts of MIMO radar and MIMO communication, one of which is the multiplexing gain.

关键词： MIMO radar radar antennas antenna arrays space division multiplexing wireless channels spatial multiplexing gain multiple-input multiple-output radar system performance enhancement widely separated antennas ambiguity function WS-MIMO radar MIMO wireless channel MIMO wireless system MIMO communication

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SINR maximization in colocated MIMO radars using transmit covariance matrix

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SIGNAL PROCESSING 2016年 119卷 128-135页

作者： Imani, Sadjad Ghorashi, Seyed Ali Bolhasani, Mostafa Shahid Beheshti Univ Dept Telecommun Cognit Telecommun Res Grp Fac Elect EngnGC Tehran Iran Shahid Beheshti Univ Cyber Res Ctr GC Tehran Iran

The main waveform design features in multiple-input multiple-output (MIMO) radars include (a) signal transmission with full rank covariance matrix in order to use the maximum waveform diversity and to suppress more number of interferers, (b) constant envelope in order to have simplicity in deployment and to reduce the destructive effect of nonlinear amplifiers and (c) small side lobe level (SLL) in order to reduce the effect of interferers with unknown location. Therefore, in order to maximize the signal-to-interference-plus-noise ratio (SINR) and to exploit the advantages of MIMO radars, in this paper we have proposed two full rank transmit covariance matrices and maximum achievable SINR is calculated analytically for both. We have shown that the two proposed covariance matrices can be used to generate BPSK waveforms which satisfy constant modulus constraint. Simulation results show that when the angle location of interferences is known, the first proposed matrix achieves a higher level of SINR compared to the second one, while the second proposed matrix has a lower SLL compared with the first one. Also we have shown that the two proposed covariance matrices can handle more interferences compared to phased-array and the recently proposed methods in MIMO radars. (C) 2015 Elsevier B.V. All rights reserved.

关键词： multiple-input multiple-output radar Covariance matrix Signal-to-interference-plus-noise ratio Waveform design

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Adaptive two-step Bayesian MIMO detectors in compound-Gaussian clutter

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SIGNAL PROCESSING 2019年 161卷 1-13页

作者： Li, Na Yang, Haining Cui, Guolong Kong, Lingjiang Liu, Qing Huo Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu Sichuan Peoples R China UESTC Sch Elect Sci & Engn Chengdu Sichuan Peoples R China UESTC Guangdong Inst Elect Informat Engn Dongguan 523808 Peoples R China Duke Univ Dept Elect & Comp Engn Durham NC USA

The problem of adaptive target detection in compound-Gaussian clutter with unknown covariance matrix for multiple-input multiple-output (MIMO) radar is addressed in this paper. A set of secondary data for each receiver is assumed to be available, and the primary data and the secondary data own the same covariance matrix structure but different power levels (textures). Firstly, a Bayesian approach is proposed, where the structure is modeled as a random matrix with an appropriate distribution. Then, two ways are adopted to model the texture: an unknown deterministic quantity or a random variable ruled by certain distribution. In this framework, three adaptive generalized likelihood ratio tests (GLRTs) are developed using the two-step design procedure. Finally, the capabilities of the proposed detectors and their superiority with respect to some existing techniques are evaluated via numerical simulations. (C) 2019 Elsevier B.V. All rights reserved.

关键词： multiple-input multiple-output radar Adaptive detection Bayesian detection Compound-Gaussian clutter Covariance matrix estimation Maximum a posteriori estimator

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Joint Detection and Delay-Doppler Estimation Algorithms for MIMO radars

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2024年 72卷 809-823页

作者： Wang, Tianqi Yin, Chaoran Xu, Da Hao, Chengpeng Orlando, Danilo Ricci, Giuseppe Chinese Acad Sci Inst Acoust Beijing 100190 Peoples R China Univ Chinese Acad Sci Beijing 101408 Peoples R China Univ Niccolo Cusano I-00166 Rome Italy Univ Salento Dipartimento Ingn Innovaz I-73100 Lecce Italy

In this paper, we consider the joint detection and localization (in the delay-Doppler domain) of targets by using multiple-input multiple-output radars. Specifically, inspired by the fact that most of existing contributions do not encompass target energy spillover between adjacent matched filter samples, we firstly analyze all the energy configurations associated with the target position within the delay-Doppler cell under test. Then, at the design stage, we formulate the detection problem by considering all data samples that might contain target components. The resulting problem is solved by applying the generalized likelihood ratio test (along with the two-step modification) when possible or ad hoc approximations of it dictated by the mathematical intractability of specific energy configurations. In these last cases, we devise two estimation procedures grounded on either a cyclic optimization of the likelihood function or the minimization of a suitable upper bound. Remarkably, the resulting architectures are capable of estimating the target position within the cell under test in the delay-Doppler domain. Finally, the behavior of the proposed architectures in terms of detection and localization performance is assessed over synthetic data and in comparison with conventional detectors that do not consider the spillover of target energy. The examples clearly show the superiority of these new detectors over the considered competitors as well as their capability of returning reliable estimates of target delay-Doppler position.

关键词： MIMO radar Doppler effect Delays radar Computer architecture Phased arrays Maximum likelihood estimation Detection generalized likelihood ratio test maximum likelihood estimation multiple-input multiple-output radar target localization

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Fast Implementation of Transmit Beamforming for Colocated MIMO radar

Fast Implementation of Transmit Beamforming for Colocated MI...

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作者： Sharma, G. V. K. Brno University of Technology

multiple-input multiple-output (MIMO) radars benefit from spatial and waveform diversities to improve the performance potential. Phased array radars transmit scaled versions of a single waveform thereby limiting the transmit degrees of freedom to one. However MIMO radars transmit diverse waveforms from different transmit array elements thereby increasing the degrees of freedom to form flexible transmit beampatterns. The transmit beampattern of a colocated MIMO radar depends on the zero-lag correlation matrix of different transmit waveforms. Many solutions have been developed for designing the signal correlation matrix to achieve a desired transmit beampattern based on optimization algorithms in the literature. In this paper, a fast algorithm for designing the correlation matrix of the transmit waveforms is developed that allows the next generation radars to form flexible beampatterns in real-time. An efficient method for sidelobe control with negligible increase in mainlobe width is also presented.

关键词： multiple-input multiple-output radar transmit beamforming fast implementation waveform diversity zero-lag correlation matrix

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Joint Estimation of Target's Range and Angle Based on Time-Invariant Spot Beam Optimization

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ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2022年第3期47卷 3023-3035页

作者： Chu, Wei Liu, Yunqing Li, Xiaolong Wang, Yingzhi Zhang, Qiong Yan, Fei Changchun Univ Sci & Technol Sch Elect & Informat Engn Changchun 130022 Peoples R China

The application of frequency diverse array and multiple-input multiple-output (FDA-MIMO) radar to achieve the joint estimation of target's range and angle is receiving more and more attention. However, its performance is generally affected by the periodicity and time-varying of its beam pattern. Therefore, this paper implements a joint estimation algorithm of target's range and angle based on a new waveform synthesis model of time modulation and range compensation FDA-MIMO (TMRC-FDA-MIMO) radar. At the same time, the multiple signal classification (MUSIC) algorithm is mainly used in FDA-MIMO radar. The huge amount of calculation also brings difficulties to the implementation of the system. Therefore, this paper proposes an improved estimating signal parameters via rotation invariance technique algorithm to solve the problem of large amount of calculation on the basis of ensuring system performance. In addition, the closed form expressions of the Cramer-Rao lower bound and root-mean-squared error of range and angle estimation are derived. Theoretical analysis and simulation verify the effectiveness of the proposed method and demonstrate the excellent performance of the proposed radar system and algorithm.

关键词： multiple-input multiple-output radar Frequency diverse array Time-invariant Spatial focusing Joint range and angle estimation Cramer-Rao lower bound

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Range Gate Pull-Off Mainlobe Jamming Suppression Approach with FDA-MIMO radar: Theoretical Formalism and Numerical Study

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REMOTE SENSING 2022年第6期14卷 1499页

作者： Wan, Pengfei Weng, Yuanlong Xu, Jingwei Liao, Guisheng Xidian Univ Sch Elect Engn Natl Lab Radar Signal Proc Xian 710071 Peoples R China Air Force Engn Univ Air & Missile Def Coll Xian 710051 Peoples R China China Elect Technol Grp Corp Res Inst 38 Hefei 230088 Peoples R China

With the development of an electronic interference technique, the self-defense jammer can generate mainlobe jamming using the range gate pull-off (RGPO) strategy, which brings serious performance degradation of target tracking for the ground-based warning radar. In this paper, a RGPO mainlobe jamming suppression approach is proposed, with a frequency diverse array using multiple-input multiple-output (FDA-MIMO) radar. The RGPO mainlobe jamming differs from the true target in slant range, thus it is possible to identify the true target from the RGPO mainlobe jammings by exploiting the transmit beampattern diversity of FDA-MIMO radar. A RGPO mainlobe jamming suppression approach is devised by using joint transmit-receive beamforming for a group of range sectors. The jamming suppression performance is studied, in consideration of practical time-delay of RGPO jamming. Simulation examples are provided to verify the effectiveness of the proposed approach.

关键词： ground-based warning radar mainlobe jamming suppression range gate pull-off frequency diverse array multiple-input multiple-output radar

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