Accurate target prior information is an important basis for improving the detection and recognition performance of high-resolution range profiles (HRRPs). To address the insufficient reliability of prior templates in scattering-center-assisted HRRP target recognition based on SAR images, where scattering centers extracted from a single image are susceptible to noise, sidelobes, local scattering fluctuations, and variations in observation azimuth angle, this paper proposes an HRRP target recognition method based on the fusion of scattering-center priors derived from SAR images acquired at adjacent azimuth angles. Two-dimensional scattering centers at different azimuth angles are extracted by combining an adaptive point-spread function (PSF) with the two-dimensional CLEAN algorithm. Amplitude-weighted clustering is then employed to retain stable scattering structures with spatial consistency, thereby constructing a fused scattering center model. Subsequently, the fused model is projected onto the range dimension under different azimuth offsets to establish a one-dimensional scattering center prior template library. Target classification is finally performed using sliding matching based on the maximum correlation coefficient. Same-band, cross-band, and comparative experiments conducted with ground-target data sets demonstrate that the proposed method effectively improves the stability of the prior templates and target recognition performance, while exhibiting reasonable adaptability to variations in observation azimuth angle, noise level, and radar operating frequency band.

Faced with increasingly complex electronic jamming environments, intra-pulse agility has become a primary method of anti-interrupted-sampling repeater jamming (ISRJ) for radar systems. However, existing intra-pulse agile signals suffer from high autocorrelation sidelobe levels and limited jamming suppression capabilities. These issues restrict the performance of intra-pulse agile signals in complex electromagnetic environments.This paper proposes an anti-interrupted-sampling repeater jamming method based on Simulated Annealing–2-optimization (SA-2opt) parallel optimization of waveforms and fractional domain extraction. Firstly, the proposed method employs the SA-2opt parallel optimization algorithm to optimize the joint frequency and chirp rate encoding waveform. Then, the received signal is subjected to the fractional Fourier transform (FrFT) and inverse transform to extract the target signal. Finally, jamming detection is conducted based on the multi-dimensional features of the pulse-compressed signal. After this detection, a time-domain filter is constructed to achieve jamming suppression. The optimized waveform exhibits the following advantages: the sub-pulses are orthogonal to each other, and autocorrelation sidelobe levels are as low as -20.7dB. The method proposed in this paper can achieve anti-ISRJ in the case of a high jamming-to-signal ratio (JSR). Simulation experiments validate both the effectiveness of the optimized waveform in achieving low autocorrelation sidelobes and the anti-ISRJ performance of the proposed method.