ID 原文 译文
17165 再利用各子阵对远距离目标方位估计结果差异性小、非目标所在频率即噪声对应空间谱最大值随机的特点，空间频率方差加权综合各子阵的目标方位估计结果，从而抑制空间非均匀噪声，实现对远距离目标的探测。 The spatial frequency variance weighted joint DoA method ispresented based on the little discrepancy of the subarrays’ DoA estimates to repress the space nonuniform noiseand detect the target in a long distance. The maximum value of spatial spectrum is random in the frequencieswithout the target because of the space non-stationary noise.
17166 仿真结果表明，与长线阵常规波束形成、长线阵近场零陷常规波束形成、长线阵近场零陷传统多重信号分类方法相比，该文方法能够有效降低空间谱背景级60 dB以上，输出信噪比提高15 dB以上，具有较强的提高信噪比能力及较高的空间分辨力，因此具有较好的工程应用价值。 The simulation results show that compared withlong-linear-array conventional beamforming, long-linear-array conventional beamforming based on near-fieldnulling weight and long-linear-array multiple signal classification based on near-field nulling weight method,this proposed technique can effectively reduce the background level of spatial spectrum (over 60 dB), improvesignal to noise ratio (above 15 dB) and has high spatial resolution, with better engineering application value.
17167 为提高浅海复杂海洋环境下的目标回波时延估计精度，增强主动声呐系统对目标的探测能力，该文基于稀疏表示理论和解卷积思想，提出一种高分辨目标回波时延估计技术。 In view of enhancing the time delay estimation resolution for the target echo in a complex shallow-water environment, thus improving the target detection ability of the active sonar system. A high-resolutiontime delay estimation technique is proposed to detect the underwater target based on sparse representationtheory and deconvolution framework.
17168 首先，引入Toeplitz算子，将发射信号的不同时延结果构造成时延字典矩阵，时延估计值存在于所求解的稀疏向量中。 Firstly, the Toeplitz operator is introduced here to construct a dictionarymatrix using the various time delayed replicing of the transmitting signal. The estimated time-delay value canbe found in the desired sparse vector solution.
17169 其次，利用交替方向乘子算法(ADMM)优化框架，求解全局最优解。 Secondly, the Alternating Direction Method of Multipliers(ADMM) is implemented to calculate the optimal solution globally.
17170 最后，采用一种加权迭代策略设置正则化参数，进一步抑制多途信道的影响，解耦合出回波到达的时刻，获得高精度的目标回波时延估计结果。 Thirdly, the reweighted iteration approach is explored to control the regularization parameter, thus suppressing the impact of the multipath channel. The arrival time of the echo can be decoupled to obtain a high-resolution time delay result.
17171 数值仿真和实验数据表明，该文提出的解卷积主动声呐目标回波高分辨时延估计技术可以在多途扩展严重的浅海声信道实现目标探测，在信道水池的实验环境下，时延估计分辨率可达0.056 ms。 The simulated andexperimental data verify that the proposed deconvolution-based time delay estimation technique can be used todetect the underwater target in shallow-water acoustic multipath channels. The resolution of the estimatedtime-delay result can achieve 0.056 ms.
17172 微波光子雷达发射大带宽跨谱段的信号，为目标的精细电磁特性描述和准确识别提供基础的同时，也亟需与之相应的大带宽大转角情况下的电磁模型参数提取方法。 Microwave photonics radar generates cross-band signals with large bandwidth, providing a basis for precise electromagnetic characteristics description and accurate identification of targets. Meanwhile, a corresponding electromagnetic model parameter extraction method is urgently required in the case of large-bandwidth and wide-angle.
17173 相比窄带条件，跨谱段信号数据量大，所含物理量信息维度高且复杂，大转角情况下距离和方位向耦合。 For the same scene, the amount of return signals will increase considerably in cross-band condition comparing with narrow-bandwidth condition. Furthermore, the signals under cross-band condition may exhibit complex range-azimuth coupling. Under such a condition, it is of difficulty to estimate high dimensional physical parameters of scattering centers in the scene from return signals.
17174 该文提出跨谱段SAR散射中心多维参数解耦和估计方法，首先结合极坐标格式算法(PFA)和属性散射中心模型构造2维解耦波数域散射中心模型， To solve this problem, a multi-parameter estimation of cross-band SAR scattering centers method is proposed. The PolarFormat Algorithm (PFA) and the attributed scattering center model are combined to construct a two-dimensional decoupled wavenumber domain model. With this scattering model, the estimation procedure istransformed into an optimization problem with multiple variables.