The Interrupted Sampling Repeater Jamming (ISRJ) is adept at generating multiple false targets with high fidelity at radar receivers through sub-sampling, leading to significant challenges in detecting actual targets. This paper presents a novel approach to mitigate such jamming by jointly designing the transmit waveform and receive filter of a fully-polarimetric wideband radar system. In this study, we aim to minimize the sum of the target's Integral SideLobe (ISL) energy and the jamming's total energy at the filter output. To ensure effective control over the mainlobe energy levels, we impose equality constraints on the peak values of both the target and jamming signals. Additionally, a constant-module constraint is applied to the transmit signal to prevent distortion at the transmitter. We incorporate the modulation of the Target Impulse Response Matrix (TIRM) to align with wideband illumination scenarios, utilizing the average TIRM over a specific Target-Aspect-Angle (TAA) interval to mitigate sensitivity in the Signal-to-Interference plus Noise Ratio (SINR) related to TAA variations. To address this nonconvex optimization problem, we propose an efficient algorithm based on an alternating optimization framework. Within this framework, the alternating direction method of multipliers (ADMM) is employed to tackle the inner subproblems, yielding closed-form solutions at each iteration. Experimental results demonstrate the effectiveness of the proposed algorithm, highlighting the benefits of wideband radar illumination, the resilience of output SINR to TAA uncertainty, and the enhanced jamming suppression capabilities of the fully-polarimetric system.