MIMO Radar with Widely Separated Antennas

Haimovich, Alexander M.; Blum, Rick S.; Cimini, Len

doi:10.1109/msp.2008.4408448

Cited by 1,897 publications

(1,059 citation statements)

References 26 publications

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“…According to the antenna configuration, MIMO radar systems can be classified into two categories: collocated (co-herent) MIMO radars are those with closely spaced antennas [3]. While distributed MIMO radars, also known as non-coherent MIMO radars, whose antennas are placed far from each other [4]. The latter configuration exploits the random fluctuation of the targets' Radar Cross Section (RCS).…”

Section: Introductionmentioning

confidence: 99%

Parameter Estimation of Maneuvering Target Using Maximum Likelihood Estimation for MIMO Radar with Colocated Antennas

Li¹,

Xu²,

Zhang³

2017

JCC

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The estimation of target parameters in MIMO radar signal processing is one of the most important research topics. An efficient implementation of the Maximum Likelihood estimator is presented in this paper to estimate the DOA (Direction of Arrival), initial velocity and acceleration of a maneuvering target in colocated MIMO radar. The target's DOA is estimated in the first place, then a Maximum-Likelihood (ML) estimation based on peak search is applied to a two-dimensional grids providing estimation of initial velocity and acceleration. Simulations show that the MIMO radar has a better performance in DOA estimation than the phased array radar. By means of Monte Carlo simulations, the estimation error of initial velocity and acceleration on different SNRs are calculated. The results also suggest the effectiveness of this method.

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Section: Introductionmentioning

confidence: 99%

Parameter Estimation of Maneuvering Target Using Maximum Likelihood Estimation for MIMO Radar with Colocated Antennas

Li¹,

Xu²,

Zhang³

2017

JCC

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“…This concept of sharing the spectrum between multiple independent transmit-receive paths is called code division multiple access (CDMA) in telecommunications engineering. The similar concept of radar systems with multiple transmitters and multiple receivers is known as multiple-input-multipleoutput (MIMO) radar (Haimovich et al, 2008). This term can be applied to a broad range of radar systems with co-located or geographically separated antennas.…”

Section: Introductionmentioning

confidence: 99%

Coded continuous wave meteor radar

et al. 2016

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Abstract. The concept of a coded continuous wave specular meteor radar (SMR) is described. The radar uses a continuously transmitted pseudorandom phase-modulated waveform, which has several advantages compared to conventional pulsed SMRs. The coding avoids range and Doppler aliasing, which are in some cases problematic with pulsed radars. Continuous transmissions maximize pulse compression gain, allowing operation at lower peak power than a pulsed system. With continuous coding, the temporal and spectral resolution are not dependent on the transmit waveform and they can be fairly flexibly changed after performing a measurement. The low signal-to-noise ratio before pulse compression, combined with independent pseudorandom transmit waveforms, allows multiple geographically separated transmitters to be used in the same frequency band simultaneously without significantly interfering with each other. Because the same frequency band can be used by multiple transmitters, the same interferometric receiver antennas can be used to receive multiple transmitters at the same time. The principles of the signal processing are discussed, in addition to discussion of several practical ways to increase computation speed, and how to optimally detect meteor echoes. Measurements from a campaign performed with a coded continuous wave SMR are shown and compared with two standard pulsed SMR measurements. The type of meteor radar described in this paper would be suited for use in a large-scale multi-static network of meteor radar transmitters and receivers. Such a system would be useful for increasing the number of meteor detections to obtain improved meteor radar data products.

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“…MIMO radar is categorized into two classes: statistical MIMO radar and colocated MIMO radar, depending on their antenna placement [1][2][3][4][5][6]. The advantages of MIMO radar with collocated antennas have been studied extensively, which include improved detection performance and higher resolution [7], higher sensitivity for detecting moving targets [8,9], and increased degrees of freedom for transmission beamforming [10].…”

Section: Introductionmentioning

confidence: 99%

Low-Grazing Angle Target Detection and System Configuration of Mimo Radar

Ding¹,

Chen²,

Wang³

et al. 2013

PIER B

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Abstract-In this paper, we focus on target detection and system configuration optimization of Multiple-input Multiple-output (MIMO) radar in low-grazing angle, where the multipath effects are very abundant. The performance of detection can be improved via utilizing the multipath echoes. First, the reflection coefficient, considering the curved earth effect, is derived. Then, the general signal model for MIMO radar is introduced for low-grazing angle. Using the NeymanPearson sense, the detector of MIMO radar with multipath is analyzed. We use the deflection coefficient as a criterion of system configuration both for MIMO radar and phased-array radar. The simulation results show that the performance can be enhanced markedly when the multipath effects are considered, and the optimal configuration of phased-array radar is with the same number of transmitters as that of receivers, however, the optimal configuration of MIMO radar depends on the signal-to-noise ratio (SNR).

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MIMO Radar with Widely Separated Antennas

Cited by 1,897 publications

References 26 publications

Parameter Estimation of Maneuvering Target Using Maximum Likelihood Estimation for MIMO Radar with Colocated Antennas

Parameter Estimation of Maneuvering Target Using Maximum Likelihood Estimation for MIMO Radar with Colocated Antennas

Coded continuous wave meteor radar

Low-Grazing Angle Target Detection and System Configuration of Mimo Radar

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