ID	原文	译文
54047	针对现有自适应陷波器频率估计方法结构复杂、抗噪性弱、结果有偏的问题，提出频率无偏估计的有限冲激响应自适应陷波器方法。	In order to solve the problems that frequency estimation method based on adaptive notch filter(ANF) are complicated, biased, and unstable under noise condition, an unbiased frequency estimation method based on FIR-ANF is proposed.
54048	该方法首先以结构较为简单的FIR自适应陷波器为基础，在分析其误差函数性能的基础上，提出频率估计的迭代递推计算式，提升频率估计的收敛性能;	Firstly, based on simply structure of FIR-ANF, the iterative recursive formulas of frequency estimation are proposed to improve the convergence performance after the analysis of error function performance;
54049	其次，对该频率估计迭代递推计算式进行偏差分析，在分析出偏差产生的原因后，对其进行偏差补偿，提高该方法频率估计精度，获得无偏的频率估计结果;	Secondly, the bias analysis of the iterative recursive formulas of frequency estimation is carried out to confirm the deviation compensation item, which should be important for obtaining unbiased frequency estimation results.
54050	最后，对所提方法进行计算分析，验证所提FIR频率估计方法在收敛性、抗噪性和无偏性等方面的有效性。	Finally, the proposed method is calculated and analyzed to verify the effectiveness of the proposed FIR-ANF frequency estimation method in terms of convergence, anti-noise performance and unbiasedness.
54051	本文针对单一特征目标相关滤波算法因光照变化、目标遮挡、低分辨率和运动模糊等导致目标跟踪的稳定性较差的问题，提出了一种将多种特征进行自适应融合的跟踪算法。	Aiming at the problem of poor target tracking stability caused by single-feature target-related filtering algorithms due to illumination changes, target occlusion, low resolution, and motion blur, this paper proposes a tracking algorithm that adaptively fuses multiple features.
54052	本文算法在FDSST算法的基础上，自适应融合梯度直方图特征HOG(Histogram of Oriented Gradient)、颜色名特征CN(Color Name)和灰度特征来增强特征的表达能力;	Based on the FDSST algorithm, the algorithm in this paper adaptively fuses gradient histogram features, color name features and grayscale features to enhance the expressive ability of features;
54053	提出遮挡判断策略，能够有效的判断跟踪过程中的目标遮挡现象;	proposes an occlusion judgment strategy, which can effectively determine the occlusion phenomenon of targets in the tracking process;
54054	引入目标重定位机制，在发生目标遮挡或干扰时，能够重新定位目标位置，有效的抑制跟踪漂移现象的产生。	introduce targets The relocation mechanism can relocate the target position when the target is blocked or interfered, effectively suppressing the occurrence of tracking drift.
54055	最后，本文选取OTB50和OTB100作为实验数据集，将本文算法和选取的六种主流算法进行性能比较。	Finally, this paper selects OTB50 and OTB100 as the experimental data sets, and compares the performance of the algorithm proposed in this paper with the selected six mainstream algorithms.
54056	实验结果表明，本文算法在光照变化、运动模糊和目标遮挡等情况下的表现具有较高的稳定性和准确性; 在成功率和跟踪精确度上都优于其他六种算法。	The experimental results show that the algorithm in this paper has high stability and accuracy under the conditions of illumination changes, motion blur and target occlusion; it is better than the other six algorithms in success rate and tracking accuracy.