Fully Adaptive Constant Module Sequence Set Design for Waveform-Agile Coherent Radar System in the Presence of Signal-Dependent Clutter

With increased degrees of freedom of the transmitter, waveform-agile radar system can get performance improvement by changing its transmission on-the-fly in response to target detection's requirement. In literature, the existing cognitive radar transmit waveform design is based on a single dimension. In order to make full use of the degree of freedom and power of the transmission signal, this paper studies the two-dimensional transmission waveform optimization problem, and optimizes the transmission waveform in both fast and slow time dimensions. We first construct a new waveform-agile model called fully adaptive constant mode sequence set (FACMSS), and then implement two-dimensional waveform optimization by shaping the ambiguity function redefined on the adaptive matched filter bank(AFA) in the presence of signal-dependent clutter, and finally propose a joint inter and intra-pulse modulation optimization algorithm (JIIMOA) to solve the problem. Numerical examples show the feasibility and effectiveness of the proposed method.