Separable transmit beampattern design for MIMO radars with planar colocated antennas

Pakdaman, Alireza; Bakhshi, Hamidreza

doi:10.1016/j.aeue.2018.03.028

Cited by 9 publications

(4 citation statements)

References 24 publications

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“…In the last decades, MIMO radars become an important and attractive issue in radar research [3]. A MIMO radar uses multiple receiver and transmitter antennas to illuminate the specific waveform [4]. The superiority of MIMO radars over conventional radars has been recently proved in many aspects.…”

Section: -Introductionmentioning

confidence: 99%

A New Power Allocation Optimization for One Target Tracking in Widely Separated MIMO Radar

Akhondi Darzikolaei,

Karami-Mollaei,

Najimi

2023

jist

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In this paper, a new power allocation scheme for one target tracking in MIMO radar with widely dispersed antennas is designed. This kind of radar applies multiple antennas which are deployed widely dispersed from each other. Therefore, a target is observed simultaneously from different uncorrelated angles and it offers spatial diversity. In this radar, a target's radar cross section (RCS) is different in each transmit-receive path. So, a random complex Gaussian RCS is supposed for one target. Power allocation is used to allocate the optimum power to each transmit antenna and avoid illuminating the extra power in the environment and hiding it from interception. This manuscript aims to minimize the target tracking error with constraints on total transmit power and the power of each transmit antenna. For calculation of target tracking error, the joint Cramer Rao bound for a target velocity and position is computed and this is assumed as an objective function of the problem. It should be noted that a target RCS is also considered as unknown parameter and it is estimated along with target parameters. This makes a problem more similar to real conditions. After the investigation of the problem convexity, the problem is solved by particle swarm optimization (PSO) and sequential quadratic programming (SQP) algorithms. Then, various scenarios are simulated to evaluate the proposed scheme. The simulation results validate the accuracy and the effectiveness of the power allocation structure for target tracking in MIMO radar with widely separated antennas.

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Section: -Introductionmentioning

confidence: 99%

A New Power Allocation Optimization for One Target Tracking in Widely Separated MIMO Radar

Akhondi Darzikolaei,

Karami-Mollaei,

Najimi

2023

jist

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“…This structure of radars helps to raise tracking accuracy in multiple target tracking scenarios with radar, sonar, and video sensors [8]. A MIMO radar is a kind of radar structure that uses a combination of antennas as transmitter and receiver and each of them emits its own waveform apart from others [9]. Widely separated antennas and collocated antennas are two famous categories for MIMO radar.…”

Section: -Introductionmentioning

confidence: 99%

SQP-based Power Allocation Strategy for Target Tracking in MIMO Radar Network with Widely Separated Antennas

Darzikolaei¹,

Karami²,

Najimi³

2021

jist

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MIMO radar with widely separated antennas enhances detection and estimation resolution by utilizing the diversity of the propagation path. Each antenna of this type of radar can steer its beam independently towards any direction as an independent transmitter. However, the joint processing of signals for transmission and reception differs this radar from the multistatic radar. There are many resource optimization problems which improve the performance of MIMO radar. But power allocation is one of the most interesting resource optimization problems. The power allocation finds an optimum strategy to assign power to transmit antennas with the aim of minimizing the target tracking errors under specified transmit power constraints. In this study, the performance of power allocation for target tracking in MIMO radar with widely separated antennas is investigated. Therefore, a MIMO radar with distributed antennas is configured and a target motion model using the constant velocity (CV) method is modeled. Then Joint Cramer Rao bound (CRB) for target parameters (joint target position and velocity) estimation error is calculated. This is utilized as a power allocation problem objective function. Since the proposed power allocation problem is nonconvex. Therefore, a SQP-based power allocation algorithm is proposed to solve it. In simulation results, the performance of the proposed algorithm in various conditions such as a different number of antennas and antenna geometry configurations is examined. Results affirm the accuracy of the proposed algorithm.

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“…The concept of multiple-input multiple-output (MIMO) radar has gained increasing attention in recent decades [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. MIMO radar systems use several antennas in transmitter and receiver to increase the capabilities of radars by transmitting a wide range of signals from uncorrelated/orthogonal signals to fully correlated ones.…”

Section: Introductionmentioning

confidence: 99%

“…In widely separated type, transmitting elements are far apart enough to view different aspects of the target, resulting in spatial diversity [8], while collocated radars do not provide spatial diversity. Instead, they offer a high angular resolution, improved detection, and parameter identifiability, increased number of detectable targets and extended array aperture by virtual sensors [9,10].…”

Section: Introductionmentioning

confidence: 99%

Waveform covariance matrix design using Fourier series coefficients

Bolhasani

Ghafi

Ghorashi

et al. 2019

IET signal process.

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Multiple-input multiple-output (MIMO) radars may outperform other radar systems such as phased array radars, in terms of higher resolution, better detection probability in the presence of interferences, better parameter identifiability and more flexibility in beampattern design. Waveform covariance matrix design, because of its role in the beampattern synthesis process, is one of the most important problems in MIMO radar systems. In this study, the authors have proposed a closed-form solution based on Fourier series coefficients to design a covariance matrix. The resulting covariance matrix fulfils the practical constraints, i.e. positive semi-definiteness and the uniform elemental power constraint. It also provides performance similar to that of iterative methods, while requires lower computation time and provides better mean square error with respect to other existing closed-form methods. Eigenvalue decomposition is also utilised to convert the possible resulted pseudo-covariance matrices (pseudo-CM), which are not guaranteed to be positive semidefinite, into a covariance matrix. Simulation results show the performance of the proposed method.

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Separable transmit beampattern design for MIMO radars with planar colocated antennas

Cited by 9 publications

References 24 publications

A New Power Allocation Optimization for One Target Tracking in Widely Separated MIMO Radar

A New Power Allocation Optimization for One Target Tracking in Widely Separated MIMO Radar

SQP-based Power Allocation Strategy for Target Tracking in MIMO Radar Network with Widely Separated Antennas

Waveform covariance matrix design using Fourier series coefficients

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