Abstract
In this paper, we extend the information-based approach to the signal-dependent interference problem and propose a new model for optimal waveform design in signaldependent interference. We assume that the target is finiteduration Gaussian signal and investigate the mutual information (MI) in signal-dependent interference and channel noise. Based on maximization of the mutual information and the energy constraint, we can obtain the matched waveforms. However, the equations obtained by differentiation cannot easily be solved. Thus we utilize the very computationally efficient approach of Maximum Marginal Allocation (MMA) to solve the problem. Then we show several waveform design simulations and compare the optimal waveform. Finally, we prove the effectiveness of the new approach by the simulation analysis.
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