Performance of MIMO radar systems: advantages of angular diversity

Fishler, E.; Haimovich, Alexander M.; Blum, Rick S.; Cimini, R.; Chizhik, Dmitry; Valenzuela, R.A.

doi:10.1109/acssc.2004.1399142

Cited by 230 publications

(131 citation statements)

References 5 publications

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“…We normalize the energy of the transmitted waveform to unity. That is, (4) The following property characterizes the ambiguity function when there exists no mismatch.…”

Section: Properties Of the Mimo Radar Ambiguity Function For Ulamentioning

confidence: 99%

MIMO Radar Ambiguity Properties and Optimization Using Frequency-Hopping Waveforms

Chen

Vaidyanathan

2008

IEEE Trans. Signal Process.

235

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Abstract-The concept of multiple-input multiple-output (MIMO) radars has drawn considerable attention recently. Unlike the traditional single-input multiple-output (SIMO) radar which emits coherent waveforms to form a focused beam, the MIMO radar can transmit orthogonal (or incoherent) waveforms. These waveforms can be used to increase the system spatial resolution. The waveforms also affect the range and Doppler resolution. In traditional (SIMO) radars, the ambiguity function of the transmitted pulse characterizes the compromise between range and Doppler resolutions. It is a major tool for studying and analyzing radar signals. Recently, the idea of ambiguity function has been extended to the case of MIMO radar. In this paper, some mathematical properties of the MIMO radar ambiguity function are first derived. These properties provide some insights into the MIMO radar waveform design. Then a new algorithm for designing the orthogonal frequency-hopping waveforms is proposed. This algorithm reduces the sidelobes in the corresponding MIMO radar ambiguity function and makes the energy of the ambiguity function spread evenly in the range and angular dimensions.

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“…We normalize the energy of the transmitted waveform to unity. That is, (4) The following property characterizes the ambiguity function when there exists no mismatch.…”

Section: Properties Of the Mimo Radar Ambiguity Function For Ulamentioning

confidence: 99%

MIMO Radar Ambiguity Properties and Optimization Using Frequency-Hopping Waveforms

Chen

Vaidyanathan

2008

IEEE Trans. Signal Process.

235

View full text Add to dashboard Cite

show abstract

“…Generally related to location of antennas, a MIMO radar can classified into two main categories. MIMO radar with widely separated antennas [3] MIMO radar with colocated antennas [4] In MIMO radars with widely separated antennas, antennas are such far from each other that each of them views different aspects of target, which cause Radar Cross Section (RCS) diversity gain in this type of MIMO radars and can be used to increase the spatial diversity of the system [5], [6], [7]. This RCS diversity can improve the performance of detection [7], angle estimation [8] and Doppler estimation of targets [3] which are discussed and referred [3].…”

Section: Introductionmentioning

confidence: 99%

Covariance based MIMO Radar Beampattern Design in NonUniform Arrays

Roshanzamir¹

2014

IOSRJEN

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-Multiple Input Multiple Output (MIMO) radar is an emerging technology which has attracted many researchers in recent years. A MIMO radar system unlike a conventional phased array radar, can choose freely the probing signals transmitted via its antennas to maximize the power around the locations of the targets of interest, or more generally to approximate a given transmit beampattern, and also to minimize the cross correlation of the signals reflected back to the radar by the targets of interest. In this paper, we show how the above desirable features can be achieved by designing the covariance matrix of the probing signal vector transmitted by the radar and location of antennas. Until now many papers have investigated cross correlation matrix only, but in this paper we will include location of transmitter antennas as well to improve the results. And we will show that changing into location of antennas is equivalent to change into career frequency. Additionally, we demonstrate the advantages of several MIMO transmit beampattern designs, including a pushing away sidelobes which are next to main lobe design case and to maximize the power around the locations of the targets of interest with producing any extra sidelobes.

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“…There are two kinds of MIMO radar to discuss. 1) The statistical MIMO [9,10]. All antennas are far enough from each other so that they obtain echoes from different angles of target to combat target fades.…”

Section: Introductionmentioning

confidence: 99%

“…Many techniques have been developed for transmitting and receiving beams to accumulate target energy and reject clutter plus interference [1][2][3][4][5][6][7][8]. Recently, however, MIMO radar has drawn considerable attention for reducing vulnerability, overcoming fading effect and high space resolution [9][10][11][12][13][14][15][16][17]. MIMO radars transmit orthogonal electromagnetic signals rather than coherent signals in traditional phased-array radars.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Beamforming for Mimo Radar

Qu¹,

Liao²,

Zhu³

et al. 2008

PIER

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Abstract-The full MIMO radar and the partial MIMO one are introduced. The performance analysis of beamforming for MIMO (Multiple-input Multiple-output) radar and comparisons with the phased-array radar are given. The expressions of beamwidth, gain loss and detection range for MIMO radar are derived. Theoretical analysis and simulations show that the beam of the full MIMO utilizing all virtual array elements is identical to the two-way beam of the phasedarray radar, and that the beam of the partial MIMO selecting elements with different phase centers (phase shifts) is narrower, but has a gain loss. Additionally, the partial MIMO can avoid aliasing in space when the transmitting antennas are spaced at greater than half-wavelength spacing. As scanning radar, the partial MIMO radar has smaller detection range than the phased-array radar, and the full MIMO radar has the same range as the phased-array radar.

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Performance of MIMO radar systems: advantages of angular diversity

Cited by 230 publications

References 5 publications

MIMO Radar Ambiguity Properties and Optimization Using Frequency-Hopping Waveforms

MIMO Radar Ambiguity Properties and Optimization Using Frequency-Hopping Waveforms

Covariance based MIMO Radar Beampattern Design in NonUniform Arrays

Performance Analysis of Beamforming for Mimo Radar

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