MIMO Radar Transmit Waveform Design for Beampattern Matching via Complex Circle Optimization

Xiong, Weijie; Hu, Jinfeng; Zhong, Kai; Sun, Yibao; Xiao, Xiangqing; Zhu, Gangyong

doi:10.3390/rs15030633

Cited by 2 publications

(2 citation statements)

References 40 publications

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“…As we know, the unimodular constraint can avoid the nonlinear effect [43]. In the following, we first introduce two metrics, i.e., CISL and CIIL, for measuring the performance of the AFs of the unimodular waveforms.…”

Section: Problem Statementmentioning

confidence: 99%

Joint Design of Complementary Sequence and Receiving Filter with High Doppler Tolerance for Simultaneously Polarimetric Radar

Chen,

Zhang,

et al. 2023

Remote Sensing

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Simultaneously polarimetric radar (SPR) realizes the rapid measurement of a target’s polarimetric scattering matrix by transmitting orthogonal radar waveforms of good ambiguity function (AF) properties and receiving their echoes via two orthogonal polarimetric channels at the same time, e.g., horizontal (H) and vertical (V) channels (antennas) sharing the same phase center. The orthogonality of the transmitted waveforms can be realized using low-correlated phase-coded sequences in the H and V channels. However, the Doppler tolerances of the waveforms composed by such coded sequences are usually quite low, and it is hard to meet the requirement of accurate measurement regarding moving targets. In this paper, a joint design approach for unimodular orthogonal complementary sequences along with the optimal receiving filter is proposed based on the majorization–minimization (MM) method via alternate iteration for obtaining simultaneously polarimetric waveforms (SPWs) of good orthogonality and of the desired AF. During design, the objective function used for minimizing the sum of the complementary integration sidelobe level (CISL) and the complementary integration isolation level (CIIL) is constructed under the mismatch constraint of signal-to-noise ratio (SNR) loss. Different SPW examples are given to show the superior performance of our design in comparison with other designs. Finally, practical experiments implemented with different SPWs are conducted to show our advantages more realistically.

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Section: Problem Statementmentioning

confidence: 99%

Joint Design of Complementary Sequence and Receiving Filter with High Doppler Tolerance for Simultaneously Polarimetric Radar

Chen,

Zhang,

et al. 2023

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…In addition to studying the error of the PE equation with different beamwidths, the error analysis of Gaussian approximation has also been reported [12,13]. Particularly, in the beam scanning of MIMO and other applications [14], the main beam of the antenna will deviate from the zero-degree direction of the PE model at a larger angle, and the propagation loss of space radio waves within the coverage range will pose new challenges to the angle problem in PE modeling. Therefore, it is necessary to explain the difference between the PE model and the real antenna after using Gaussian approximation.…”

Section: Introductionmentioning

confidence: 99%

The Influence of PE Initial Field Construction Method on Radio Wave Propagation Loss and Tropospheric Duct Inversion

Cheng,

Liu,

Cao

et al. 2023

Atmosphere

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Parabolic equations (PE) are commonly employed for calculating the spatial propagation loss of wireless signals. The initial field is a crucial factor. To investigate the impact of construction accuracy on the calculation of radio wave propagation loss, we selected the half-wave dipole antenna and its Gaussian approximation to examine the influence of wide-angle PE modeling. We analyzed the disparities between the actual antenna pattern and the Gaussian beam approximation, as well as the discrepancies in the corresponding initial field and the calculation of radio wave propagation loss in PE modeling. The simulation results indicate that the error of the Gaussian approximation increases as the angle of departure from the antenna main beam increases, with a relative error of approximately 30% in the initial field. A comparison between the experimental test of the broadcast signal and the simulation calculation reveals that the model based on the actual antenna aligns more closely with the measured value on a flat underlying surface. However, in mountainous areas with significant fluctuations, the simulation results are consistent with each other and higher than the measured value. The inversion results obtained through the particle swarm optimization algorithm demonstrate that the model based on the actual antenna exhibits superior inversion accuracy for the tropospheric atmospheric duct structure.

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MIMO Radar Transmit Waveform Design for Beampattern Matching via Complex Circle Optimization

Cited by 2 publications

References 40 publications

Joint Design of Complementary Sequence and Receiving Filter with High Doppler Tolerance for Simultaneously Polarimetric Radar

Joint Design of Complementary Sequence and Receiving Filter with High Doppler Tolerance for Simultaneously Polarimetric Radar

The Influence of PE Initial Field Construction Method on Radio Wave Propagation Loss and Tropospheric Duct Inversion

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