ID 原文 译文
23265 通过天绘 1 号 02 星全色遥感图像的实验和处理，结果表明在误匹配点去除和正确匹配点保留方面所提算法与其它方法相比具有更好性能。 The experiment results running on the panchromatic image of mapping satellite 1-02 show that the method has better performance on eliminating the mismatched points and keeping the matched points.
23266 针对机载外辐射源雷达多普勒展宽的杂波对消问题，该文提出频域分块距离-多普勒-空间 LMS(RDS-LMS)算法。 A frequency-domain block Range-Doppler-Space Least-Mean-Square (RDS-LMS) algorithm is proposed for the cancellation of the Doppler spread of clutter for airborne passive radar.
23267 该算法利用杂波的空时依赖性，沿杂波脊进行对消，避免对杂波多普勒带内目标的对消。 To avoid the cancellation of targets in the clutter Doppler band with the cancellation of clutter, this algorithm uses the spatial dependence of the clutter Doppler frequency and cancels clutter along the clutter ridge.
23268 通过频域分块处理，减小了迭代次数并可以利用 FFT 快速实现，降低了算法的计算量。 With the frequency-domain block implementation, the iteration of adaptive processing is reduced and FFT can be employed. Hence, the computational load is reduced.
23269 基于实测数据的仿真结果表明：该算法能够有效对消杂波，且对杂波带内的目标影响很小，对径向速度大于 10  m/s 的目标，信噪比损失在 1  d B 以内。 Simulation results based on experimental data show that the proposed algorithm is able to cancel clutter effectively and more importantly it has slight influence on targets in clutter Doppler band. For example, for targets with radial velocity greater than 10 m/s, signal-to-noise ratio (SNR) loss is within 1 dB.
23270 计算复杂度分析表明：频域分块实现使算法计算量降低了 42 倍，根据在地基外辐射源雷达中已实时实现的 FBLMS 算法估算，结合 GPU 并行处理，该文算法处理 1 s 数据用时为 771 ms，能够满足实时性需求。 Computational complexity analyses show that the frequency-domain block implementation reduces the computational load 42 times and according to the real-time implemented Frequency-Domain Block LMS (FBLMS) algorithm in ground based passive radar, the proposed algorithm needs 771 ms to process 1 s data with the help of parallel processing of Graphic Processing Unit (GPU) and can satisfy the need for the real-time implementation of airborne passive radar clutter cancellation.
23271 求根多重信号分类(Root-MUSIC)算法以多项式求根代替谱峰搜索，降低了波达方向(DOA)估计的计算量，但当阵元数较大时，其计算量依然很大。 The Root  MUltiple SIgnal Classification (Root-MUSIC) algorithm uses polynomial rooting instead of spectral search to reduce the computational complexity of Direction-Of-Arrival (DOA) estimation. However, when large numbers of sensors are exploited, this algorithm is still time-consuming.
23272 为进一步降低计算量，该文提出一种降阶 Root-MUSIC(RD-Root-MUSIC)算法。该算法基于谱分解将 Root-MUSIC 多项式的阶次降低一半，再根据矩阵特征多项式与求根多项式的关系构造友阵，采用Arnoldi迭代计算得到友阵的L个大特征值(L为信号数)并估计DOA。 To further reduce the complexity, a novel Reduced-Dimension Root-MUSIC (RD-Root-MUSIC) algorithm based on spectral factorization is proposed, in which the dimension of polynomial involved in the rooting step is efficiently reduced to half. A companion matrix whose eigenvalues correspond to the roots of the reduced-dimension polynomial is further constructed, and the Arnoldi iteration is finally used to calculate only the L largest eigenvalues containing DOA information, where L is the number of signals.
23273 仿真结果表明，RD-Root-MUSIC估计精度与 Root-MUSIC 相近，但其在大阵元下具有比 Root-MUSIC 更低的计算量。 Simulation results show that RD-Root-MUSIC has a similar performance with much lower complexity as compared to Root-MUSIC.
23274 多进制频移键控(MFSK)信号被广泛应用于各种军用、民用通信系统中。 MFSK signal is widely used in military and civil communication systems.