Waveform Design for MIMO Radar Transmit Beampattern Formation With Good Range Sidelobes

Deng, Minglong; Cheng, Ziyang; Lu, Yilong; He, Zishu; Ren, Gangqiang

doi:10.1109/radar.2019.8835646

Cited by 4 publications

(2 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [34], the authors combine a beampattern matching by orthogonality requirement as a penalty in the objective function and use the PDR approach for the solution. In [35], the authors propose a method based on ADMM to design a beampattern with good cross-correlation. In [13], UNIQUE is proposed as a unified framework to minimize the spatialand range-ISLR using weighted sum technique under limited energy, PAR, continuous and discrete phase constraints.…”

Section: Introductionmentioning

confidence: 99%

MIMO Radar Transmit Beampattern Shaping for Spectrally Dense Environments

Raei¹,

Sedighi²,

Alaee-Kerahroodi³

et al. 2021

Preprint

View full text Add to dashboard Cite

Designing unimodular waveforms with a desired beampattern, spectral occupancy and orthogonality level is of vital importance in the next generation Multiple-Input Multiple-Output (MIMO) radar systems. Motivated by this fact, in this paper, we propose a framework for shaping the beampattern in MIMO radar systems under the constraints simultaneously ensuring unimodularity, desired spectral occupancy and orthogonality of the designed waveform. In this manner, the proposed framework is the most comprehensive approach for MIMO radar waveform design focusing on beampattern shaping. The problem formulation leads to a non-convex quadratic fractional programming. We propose an effective iterative to solve the problem, where each iteration is composed of a Semi-Definite Programming (SDP) followed by eigenvalue decomposition. Some numerical simulations are provided to illustrate the superior performance of our proposed over the state-of-the-art.

show abstract

Section: Introductionmentioning

confidence: 99%

MIMO Radar Transmit Beampattern Shaping for Spectrally Dense Environments

Raei¹,

Sedighi²,

Alaee-Kerahroodi³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…and using the Projection, Descent, and Retraction (PDR) approach for the solution. In [33], the authors propose a method based on ADMM to design a beampattern with good cross-correlation property but they do not consider the need for a good auto-correlation in their formulation. The aforementioned papers design constant modulus waveforms with continuous phase alphabets.…”

Section: Introductionmentioning

confidence: 99%

Spatial- and Range- ISLR Trade-off in MIMO Radar via Waveform Correlation Optimization

Raei,

Alaee-Kerahrood,

Shankar

2021

Preprint

View full text Add to dashboard Cite

This paper aims to design a set of transmit waveforms in cognitive colocated Multi-Input Multi-Output (MIMO) radar systems considering the simultaneous minimization of spatial-and the range-Integrated Sidelobe Level Ratio (ISLR). The design problem is formulated as a bi-objective Pareto optimization under practical constraints on the waveforms, namely total transmit power, peak-to-average-power ratio (PAR), constant modulus, and discrete phase alphabet. A Coordinate Descent (CD) based approach is proposed, in which at every single variable update of the algorithm we obtain the solution of the uni-variable optimization problems. The novelty of the paper comes from deriving a flexible waveform design problem applicable for 4D imaging MIMO radars which is optimized directly over the different constraint sets. The simultaneous optimization leads to a trade-off between the two ISLRs and the simulation results illustrate significantly improved trade-off offered by the proposed methodologies.

show abstract