MIMO Radar Transmit Beampattern Design with PAR constraint in a Spectrally Crowded Environment

Qinglin, Zhai; Wang, Yuxi; Li, Wei

doi:10.2991/cnct-16.2017.51

Cited by 2 publications

(6 citation statements)

References 19 publications

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“…In Fig. 2, the maximum PAPR value of our proposed method is nearly 1.26, which is larger than the result of method in [23] and still within the tolerance.…”

Section: Figure 2 Papr Of Waveform After the Spatial Optimizationmentioning

confidence: 66%

“…From Fig. 1, we can find that there is a little energy imbalance in the results of SO method [23], the amplitude of radiation to the latter two targets is slightly lower than the first one. This phenomenon does not exist in other methods.…”

Section: Figure 1 Beam Pattern After the Spatial Optimizationmentioning

confidence: 88%

“…AS the BM method [5,15,16] does not synthesize waveform. We just calculate the PAPR of waveform synthesized through three other methods during the spatial optimization, the performance of the proposed method is between the method in [23] and the traditional CA method. In Fig.…”

Section: Figure 2 Papr Of Waveform After the Spatial Optimizationmentioning

confidence: 99%

“…In fact, MIMO radar is dually affected by spatial interference and spectral interference in practical applications. Wang conducted similar research on single target and single spectral interference scenes via the sequential optimization (SO) in spatial and spectral domains [23]. P.-M. McCormick introduced a joint spectrum/beampattern design method of MIMO radar emission based on alternating projections [24].…”

Section: Introductionmentioning

confidence: 99%

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MIMO Radar Waveform Joint Optimization in Spatial-Spectral Domain for Anti-Interference

Chu

Zhang²,

Chen

2021

IEEE Access

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Aiming at the target detection problem of MIMO radar under the condition of both spatial and spectral domain interferences, a waveform design method for MIMO radar based on joint optimization of spatial and spectral domain interferences suppression in multi-target scenarios is proposed. Compared with the traditional synthetic waveform method based on the transmitting signal covariance matrix, this method directly performs waveform design in the space-spectral domain in turn, considering target characteristics and spatial-spectral environment comprehensively. Firstly, according to the target characteristics and energy allocation strategy, the fast time transmission pulse set is divided into a group of sub-pulse sets whose number equals to the number of targets. Meanwhile a set of transmit filter weighting factor vectors are introduced and the number of vectors equals to the number of spatial interferences. Furthermore, the spatial waveform optimization model is constructed according to the pattern matching criterion, subjecting to the peak-to-average power ratio of the transmitted signal. The sub-pulse sets are obtained through convex optimization, and the full matrix of the emission waveform is formed by the subpulse sets. Then, according to the invariability of radar transmit pattern with changing the initial phase of the sub-pulse, the transmitted waveform with desired beam pattern and spectrum distribution is obtained by optimizing the initial phase matrix through convex optimization. Finally, the optimized transmit waveform of MIMO radar with the ability of simultaneously suppressing space frequency interferences is generated. The simulation results prove the effectiveness of the proposed method.INDEX TERMS MIMO radar; beam pattern matching; spatial-spectral domain anti-jamming; waveform synthesis

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“…In Fig. 2, the maximum PAPR value of our proposed method is nearly 1.26, which is larger than the result of method in [23] and still within the tolerance.…”

Section: Figure 2 Papr Of Waveform After the Spatial Optimizationmentioning

confidence: 66%

Section: Figure 1 Beam Pattern After the Spatial Optimizationmentioning

confidence: 88%

Section: Figure 2 Papr Of Waveform After the Spatial Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

MIMO Radar Waveform Joint Optimization in Spatial-Spectral Domain for Anti-Interference

Chu

Zhang²,

Chen

2021

IEEE Access

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“…The work in [24] focused on the signal-to-interference-plus-noise ratio (SINR) enhancement using transmitted waveform covariance matrix optimization in colocated MIMO radars. The sparse frequency waveform design problem for the desired transmit beampattern in spectrum-crowded environment was considered in [25,26].…”

Section: Introductionmentioning

confidence: 99%

Constrained Transmit Beampattern Design Using a Correlated LFM-PC Waveform Set in MIMO Radar

Hong

Dong

Xie

et al. 2020

Sensors

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This paper considers the design of a desired transmit beampattern under the good ambiguity function constraint using a correlated linear frequency modulation-phase coded (LFM-PC) waveform set in multiple-input-multiple-output (MIMO) radar. Different from most existing beampattern design approaches, we propose using the LFM-PC waveform set to conquer the challenging problem of synthesizing waveforms with constant-envelope and easy-generation properties, and, meanwhile, solve the hard constraint of a good ambiguity behaviour. First, the ambiguity function of the LFM-PC waveform set is derived, and the superiority of LFM-PC waveforms over LFM and PC waveforms is verified. The temporal and spatial characteristic analysis of the LFM-PC waveform set demonstrates that both the transmit beampattern and sidelobe level are mainly affected by the frequency intervals, bandwidths, and phase-coded sequences of the LFM-PC waveform set. Finally, the constrained beampattern design problem is formulated by optimizing these parameters for desired beampatterns and low sidelobes at different doppler frequencies, which is a bi-objective optimization problem. To solve this, we propose a joint optimization strategy followed by a mandatory optimization, where the sequence quadratic programming (SQP) algorithm and adaptive clonal selection (ACS) algorithm are exploited iteratively. The simulation results demonstrate the efficiency of our proposed method.

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MIMO Radar Transmit Beampattern Design with PAR constraint in a Spectrally Crowded Environment

Cited by 2 publications

References 19 publications

MIMO Radar Waveform Joint Optimization in Spatial-Spectral Domain for Anti-Interference

MIMO Radar Waveform Joint Optimization in Spatial-Spectral Domain for Anti-Interference

Constrained Transmit Beampattern Design Using a Correlated LFM-PC Waveform Set in MIMO Radar

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