Abstract
The ambiguity function (AF) of the transmit waveform is an important reflection for cognitive radar detection system performance, and spectral coexistence is equally critical in the current frequency-congested electromagnetic environment. In this paper, a joint optimization metric related to AF and energy spectral density (ESD) is considered to improve the probability of target detection, which is accomplished by designing the radar transmit waveform. Additionally, the unimodular constraint limited by the radar transmitter is imposed on the transmit waveform. To handle the resulting nonconvex problem, an iterative optimization procedure with a closed-form solution is developed leveraging the iterative sequential quadratic optimization (ISQO) framework. Numerical simulation results are provided to demonstrate the effectiveness of the proposed approach.
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