Xianxiang Yu

TL;DR: The proposed technique provides a monotonic SINR improvement without limitations on the size of the similarity constraint and ensures convergence to a stationary point filling these important gaps in the open literature.

TL;DR: A novel polynomial-time iterative procedure ensuring that SINR monotonically increases and converges to a finite value, is developed to improve the detectability of a moving target embedded in signal-dependent clutter in the presence of uncertainties on the target azimuth angle and Doppler frequency.

TL;DR: This paper deals with the robust waveform design of multiple-input multiple-output radar to improve target detectability embedded in signal-dependent interferences to maximize the worst case signal-to-interference-plus-noise ratio (SINR) over steering matrix mismatches.

TL;DR: This paper deals with the joint design of Multiple-Input Multiple-Output radar transmit waveform and receive filter to enhance multiple targets detectability in the presence of signal-dependent (clutter) and independent disturbance and shows that the proposal outperforms state of the art competing methods while providing the most favorable performance-complexity balance.

TL;DR: A computationally efficient iterative algorithm for the continuous phase case (IA-CPC) is proposed to sequentially optimize the quadratic objective function and an iterative block optimization algorithm is presented for the discrete phase case.