ID	原文	译文
53867	仿真与实测实验结果表明，本文基于α-随机解调器的模拟信息转换方法能够有效实现线性调频信号的压缩采样与准确重构。	The effectiveness of the proposed scheme was verified by numerical experiments. We show that the proposed analog-to-information conversion method achieves the effective compressive sampling and accurate reconstruction for LFM signals.
53868	线性调频连续波(LFMCW)雷达具有尺寸小、成本低、抗截获等优点，在近距离探测成像中具有独特优势。	Linear frequency modulation continuous wave radar has some advantages like small size, low cost, anti-interception and so on, which gives it unique superiority in short-range imaging.
53869	但LFMCW雷达采用Dechirp接收体制，因此对发射信号的调频线性具有严格要求。	However, LFMCW radar adopts Dechirp receiving system, so it strictly requires the frequency modulation linearity of the transmitted signal.
53870	而实际系统的非理想线性调频会导致距离压缩结果恶化，影响目标聚焦效果。	In the real systems, the nonlinear frequency modulation will deteriorate the range compression result and affect the focusing effect.
53871	由于Dechirp后的残余误差的空变性，现有的基于信号处理的补偿方法难以兼顾补偿精度和计算效率。	Because of the spatial variability of residual error after Dechirp, existing signal processing correction methods are difficult to balance the compensation accuracy and calculation efficiency.
53872	本文首先揭示了匹配滤波和Dechirp处理两种脉冲压缩处理方法之间的理论等效性。	This paper first reveals the theoretical equivalence between the matched filtering and Dechirp processing.
53873	然后，基于这种等效原理，提出了一种基于频谱恢复的空变误差补偿方法。	Then, using this equivalent principle, a space-varying error compensation method based on spectrum restoration is proposed.
53874	新方法通过对Dechirp信号进行预处理，恢复出原始回波信号频谱，再利用匹配滤波方式完成距离压缩处理，可以有效避免误差的空变补偿，实现对非线性调频误差的高效精确补偿。	The new method restored the original echo spectrum by preprocessing the Dechirp signal, and then used the matched filtering for range compression processing, which can effectively avoid the error compensation of the spatial variability and realize the efficient and accurate correction of the nonlinear frequency modulation error.
53875	最后，通过仿真数据处理验证了理论分析的正确性和所提方法的有效性。	Finally, experimental results demonstrate the correctness of the theoretical analysis and the effectiveness of the proposed method.
53876	为了缩减线性约束稳健自适应波束形成算法的计算量，使之能够应用于单快拍更新的实时信号处理应用场景，本文提出了一种基于单快拍更新和迭代梯度方法的线性约束稳健Capon波束形成快速算法，将原始算法的O(M3)时间复杂度优化到O(M2)级别。	In order to reduce the amount of calculation of the linearly constrained robust adaptive beamforming algorithm, so that it could be applied to the real-time signal processing application scenarios of single-snapshot updating, this paper proposed a fast algorithm for linearly constrained robust Capon beamforming( LCRCB) based on single-snapshot updating and iterative gradient method, with the time complexity optimized from O( M3) to O( M2).