Performance Analysis of Beamforming for Mimo Radar

Qu, Yi; Liao, Guisheng; Zhu, Shengqi; Li, Xiangyang; Jiang, Hui

doi:10.2528/pier08062306

Cited by 45 publications

(42 citation statements)

References 17 publications

(25 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…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

View full text Add to dashboard Cite

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).

show abstract

Section: Introductionmentioning

confidence: 99%

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

Ding¹,

Chen²,

Wang³

et al. 2013

PIER B

View full text Add to dashboard Cite

show abstract

“…It is the expansion and extension of the existing MIMO techniques of the 4G network [3][4][5][6][7][8][9][10][11][12][13][14][15]. Nowadays, the 4G cellular network supports simultaneous wireless transfer of maximum 8-ports [16], which is not enough to meet the requirements of future wireless data services.…”

Section: Introductionmentioning

confidence: 99%

A Method for Analyzing Broadcast Beamforming of Massive Mimo Antenna Array

Yuan¹,

Cui²,

Fan³

2017

PIER Letters

View full text Add to dashboard Cite

Abstract-In this paper, a new analysis method of broadcast beamforming for a massive MIMO antenna array, targeting at the fifth generation mobile communication, is introduced. In order to solve the problem of narrow broadcast beam coverage, the element phase of massive MIMO antenna array is optimized using a method, which combines both numerical electromagnetic analysis method and global optimization algorithm. The analysis results show that the optimal value of 3 dB broadcast beam width for 64 antenna elements in the horizontal plane is 36 degree, which is 0.55 times of that of the 4G base station. In addition, the optimal value of gain loss increases to about 13 dB compared with the gain of the antenna fed with equal amplitude and in phase. So it is also necessary to take the system link budget of the broadcast channel into consideration. The proposed analysis method and design solution can provide reference for the research of the next generation mobile communication.

show abstract

“…For example, MIMO radar has more flexible spatial transmitting beam pattern design [2] and higher resolution spatial spectral estimates [3] than that of CPAR, etc..…”

Section: Introductionmentioning

confidence: 99%

Optimal Polarization Design for Direction Finding Using Mimo Electromagnetic Vector-Sensor Array

Chen¹

2013

PIER C

View full text Add to dashboard Cite

Abstract-In this paper, transmitter polarization optimization is firstly proposed to improve the accuracy of azimuth-elevation arrival angles estimation within MIMO electromagnetic vector-sensor array (EMVA). Minimizing of Cramér-Rao bound is used as cost function for the optimal design of transmitting signal polarization. Computer simulation results verify that the optimal polarization design provides increased estimation accuracy of direction finding in MIMO-EMVA, compared with that of using fixed polarization of transmitting signal. Moreover, the optimal polarization design retains all advantages of using fixed polarization of transmitting signal for MIMO-EMVA direction finding.

show abstract

Performance Analysis of Beamforming for Mimo Radar

Cited by 45 publications

References 17 publications

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

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

A Method for Analyzing Broadcast Beamforming of Massive Mimo Antenna Array

Optimal Polarization Design for Direction Finding Using Mimo Electromagnetic Vector-Sensor Array

Contact Info

Product

Resources

About