This paper considers the phase-only sequence design problem for a cognitive radar in order to achieve both the desired autocorrelation and the stopband properties, which is useful to obtain good range compression as well as the spectral compatibility. We develop a new objective function accounting for the weighted integrated sidelobe level and the spectral power within specific stopbands. An iteration algorithm based on pattern search (PS) is proposed to minimize the nonconvex multidimensional objective function with the continuous phase case, which is split into multiple one-dimensional problems that are simplified and solved with closed-form solutions. In particular, the PS algorithm can be applied to the discrete phase case. Finally, we evaluate the effectiveness of the PS algorithm compared with the weighted-stopband cyclic algorithm new algorithm via numerical simulations in terms of the autocorrelation function, the spectral power function, and the convergence speed.

We consider the suppression problem of rangevelocity deception jamming based on adaptive iterative filtering algorithm for pulse Doppler (PD) radar. First, we present the real target signal and false target signal model based on digital radio frequency memory (DRFM). Then, we suppress rangevelocity jamming by adaptive iterative filtering algorithm in range dimension processing and Doppler dimension processing for target signal and jamming respectively. At the stage of analysis, we consider multiple real targets and false targets in range-Doppler plane, and evaluate the suppression performance of the proposed algorithm by simulation. The results highlight that the proposed algorithm will converge fast and yield an excellent suppression performance.

This paper considers an effective signaling scheme to combat the range repeat jammer for radar system. Robustness against jammer is achieved by designing different phase-coded pulses with weighted auto- and cross- correlation in a coherent processing interval (CPI). In this way, the matched filter output forms notches around the true target so that the true target can be indicated clearly. In the same time the jammer is suppressed for the good cross-correlation property between pulses. To obtain the desired waveforms, we formulate the penalty function and propose the pattern search (PS) method to optimize it. Finally, we present simulations to demonstrate the effectiveness of the proposed method.

This paper considers an effective electronic counter-countermeasures (ECCM) technique against velocity deception jamming in multi-target scenario for radar system. The essence of the technique is outlined based on the variations of initial phases of the transmitted pulses in pulse repetition interval (PRI) domain. With the optimized waveform, the false targets generate notches around the true targets in frequency domain. We formulate the multi-target, multi-jamming signal model and derive the cost function for the optimizing waveform design. In addition, we propose a modified Newton method to solve the optimizing problem. Simulations are presented to demonstrate the effectiveness of the proposed method in solving the ECCM optimizing problem for multi-target scenarios.

For multi-input multi-output (MIMO) radar system, the orthogonal waveform set plays important rule to the system's performance. This paper considers the design problem of orthogonal phase-modulated waveform set with low autoand cross-correlation side-lobes in a specified lag interval. After formulating a multi-dimensional optimization problem, we propose a new iterative approach that based on the pattern search (PS) method. Capabilities of the PS algorithm and the WeCAN are evaluated via numerical simulations. Simulation results indicate that the new method has better performance with respect to the side-lobe level in the specified lag interval and less computation load compared to the WeCAN algorithm.

The adaptive multi-pulse compression (AMPC) has been shown to successfully suppress the range-doppler sidelobes at the cost of heavy computation load. The fast adaptive multi-pulse compression (FAMPC) algorithm reduces the computation complexity of the AMPC via dimensionality reduction while it suffers noticeable performance degradation. This paper proposes a modified adaptive multi-pulse compression (MAMPC) algorithm that uses a two-stage processing scheme and implements with the gain-constraint-APC (GCAPC). The proposed method has almost identical estimation performance to the AMPC while maintains the same order of computation load as that of the FAMPC.