Waveform diversity via mutual information

Roman, J.R.; Davis, D.W.; Garnham, J.W.; Antonik, Paul

doi:10.1016/j.dsp.2007.12.002

Cited by 6 publications

(1 citation statement)

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“…In [ 28 ], the information theoretic criteria-based waveform design under SNR constraint was studied from a frequency domain perspective, and the results revealed that the SNR constraint waveform can take full advantage of transmitted energy to extract target signals at frequency points containing targets with weak clutter. However, the waveform diversity performance under the SNR constraint was not analyzed from the perspective of the time domain [ 29 ]. According to the above analysis, an adaptive waveform is designed in this study by taking information theoretic criteria as the criterion based on the sequential hypothesis test framework to optimize the target detection performance.…”

Section: Introductionmentioning

confidence: 99%

Waveform Design for Multi-Target Detection Based on Two-Stage Information Criterion

Xiao

2022

Entropy

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Parameter estimation accuracy and average sample number (ASN) reduction are important to improving target detection performance in sequential hypothesis tests. Multiple-input multiple-output (MIMO) radar can balance between parameter estimation accuracy and ASN reduction through waveform diversity. In this study, we propose a waveform design method based on a two-stage information criterion to improve multi-target detection performance. In the first stage, the waveform is designed to estimate the target parameters based on the criterion of single-hypothesis mutual information (MI) maximization under the constraint of the signal-to-noise ratio (SNR). In the second stage, the objective function is designed based on the criterion of MI minimization and Kullback–Leibler divergence (KLD) maximization between multi-hypothesis posterior probabilities, and the waveform is chosen from the waveform library of the first-stage parameter estimation. Furthermore, an adaptive waveform design algorithm framework for multi-target detection is proposed. The simulation results reveal that the waveform design based on the two-stage information criterion can rapidly detect the target direction. In addition, the waveform design based on the criterion of dual-hypothesis MI minimization can improve the parameter estimation performance, whereas the design based on the criterion of dual-hypothesis KLD maximization can improve the target detection performance.

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Section: Introductionmentioning

confidence: 99%