[PERSON] and [PERSON] [12] propose a unified method for target detection and tracking using energy information, which can detect and track the weak targets correctly. [PERSON] and [PERSON] [13] propose a novel approach for localizing wideband signals in a high-interference environment based on sparse spectrum fitting and a matrix filter with nulling, which is beneficial for passive sonar direction-of-arrival estimation [14; 15]. In both simulated and experimental results, the proposed sparse spectrum fitting approach is more resistant to the choice of regulatory parameters and has a lower sidelobe level. However, those two algorithms do consider jamming-target tracking. [PERSON] [16] employs a kind of signal-noise separation and deconvolution to detect a weak target in the presence of high target interference. The results reveal that it is not able to detect weak targets in low SNR circumstances. [PERSON]. [PERSON] et al. [17] propose a multi-Bernoulli filter for tracking DOA of targets using sensor array; this allows more accurate multi-target state estimation under jamming circumstances. [PERSON] et al. [18] propose a bearing-only target tracking method to track multi-targets at the same time. [PERSON] et al. [19] propose the probability hypothesis density (PHD) and cardinalized probability hypothesis density (CPHD) algorithms based on a novel detection probability to track multi-targets. However, the experiment results of the above three algorithms have no real sea-trial data. [PERSON] et al. [20] propose a data-association method based on block association, which realizes correct association for target trajectory crossing, target long-time interruption, etc, but the weak-target-tracking ability is not good. Our research focuses on how to improve the weak-target-tracking performance under strong jamming-target circumstances by using a post-processing framework. Previously, we improved acoustic-target-bearing trajectories by combining image-processing methods in the post-processing framework of bearing time records [2]. We also presented a solution to suppress the interference of jamming targets on the 2021 China Automation Congress (CAC2021) [21], which is based on linear interpolation template matching, to address the issue of multi-target jamming. For better tracking performance, this paper improves and supplements our previous work of reference [21], and then unifies Gabor filtering, template matching, and principal component analysis to denoise and suppress jamming targets. The experiment in this work is conducted by using simulated and sea-trial data, and the proposed method is evaluated by comparing with the conventional tracking methods and the reference method presented in [21]. Ultimately, both of the simulation and sea-trial experiments show good performance when tracking weak targets under a jamming-target environment. The main contributions of this paper include:  
1. At present, the research in the field of BTR post-processing is not sufficient. In this paper, a new BTR post-processing architecture is established, which can be used to improve the resolution and tracking capability of BTR. 2. To address the problem of tracking failure caused by BTR image-level noise interference, a real-time PCA processing method is introduced, and a BTR trajectory enhancement method is proposed to improve the stability of traditional target-tracking methods. 3. To address the problem of insufficient resolution caused by the Rayleigh limit of BTR, an image enhancement algorithm to improve the resolution of BTR is proposed by combining the target motion analysis with the Gabor filtering method. 4. To acquire a higher matching gain, the template parameters are set using the coherent matching of Gabor's zero point distribution and Rayleigh limit zero point distribution. 5. The feasibility of the above method is verified by simulation and sea-trial data.