ID 原文 译文
50137 采用积分反演控制方法设计基本控制器，在此基础上利用TDC技术的逼近能力来补偿执行机构可能出现的故障，该方法省去了在线的故障检测和估计，仅需要一步状态迭代即可，仿真结果表明该控制器对执行机构故障具有较强的鲁棒性。 Using integral inversion control method to design the basic controller, based on the approximation capability of TDC to compensate for possible actuator failures, the method saves online fault detection and estimation, only need to step state iteration, the result of simulation shows that the controller to actuator fault has strong robustness.
50138 针对未知载波相位的符号检测问题，基于吉布斯样本法处理框架，提出了一种贝叶斯符号检测算法。 For symbol detection problem of unknown carrier phase, based on gibbs sampling processing framework, a bayesian symbol detection algorithm is proposed.
50139 该算法通过对载波相位、发送符号等未知参数进行条件后验分布采样，实现了符号检测和相位估计的联合处理。 The algorithm is based on carrier phase, send symbols conditional posterior distribution of unknown parameters such as sampling, implements the symbol detection and phase estimation joint treatment.
50140 该算法的一个显著特点是具有软输入软输出结构，因此在编码系统中可以与信道译码结合进行迭代处理，从而进一步改善符号检测的性能。 A striking feature of the proposed algorithm is a soft input soft output structure, therefore in the coding system can be combined with channel decoding iteration process, thus further improves the performance of the symbol detection.
50141 计算机仿真的结果表明，该算法同传统的非数据辅助(non-data-aided，NDA)算法相比，具有明显的性能优势，在Turbo编码条件下，其误码性能相比于NDA算法具有大于1dB的增益。 Computer simulation results show that the proposed algorithm with the traditional non data aided (non - data - aided, NDA) algorithm, compared with significant performance advantages, under the condition of Turbo coding, the error performance compared to the DNA algorithm is greater than 1 db gain.
50142 针对目标雷达截面积(radar cross-section，RCS)空间起伏，不易于常规雷达进行长时间积累检测的问题，结合正交频分复用(orthogonal frequency-division multiplexing，OFDM)波形与分布式多输入多输出(multiple input multiple-output，MIMO)雷达的特点，提出了一种基于分布式OFDM-MIMO雷达的非相参积累目标检测方法。 Target radar cross-section of RCS (radar cross - section, ) space, not easy to conventional radar long time accumulation detection problems, combined with orthogonal frequency division multiplexing (orthogonal frequency - division multiplexing, OFDM) waveform and distributed multiple input multiple output (multiple input multiple output -, MIMO) radar, the characteristics of OFDM and MIMO radar is put forward based on the distributed object than coherent accumulation detection method.
50143 该方法使获得的多路回波信号短时间内非相参并行处理，削弱了长时间积累、复杂的相位补偿以及RCS快起伏对检测性能的影响，有效实现了多个目标的积累和检测。 This method can obtain the multi-channel echo signal in a short period of time not coherent parallel processing, weaken the phase compensation of long time accumulation, complex and the influence of RCS fast rise and fall on the detection performance, effectively accumulation and the multiple target detection.
50144 仿真结果证实了提出方法的有效性。 The simulation results confirm the validity of the proposed method.
50145 根据T-R型双基地声纳定位的几何模型，提出利用时延-方位信息进行目标定位的双基地声纳时间方位定位(bistatic time-bearing-localization，BTBL)算法，并给出了算法定位误差的几何分布。 Based on T - R model geometry model of the bistatic sonar, puts forward using delay - azimuth information of target location and time of bistatic sonar position (bistatic time - bearing - localization, BTBL) algorithm, and gives the algorithm of positioning error of the geometric distribution.
50146 通过数值仿真，研究了基线长度、时间测量误差和方位测量误差对算法定位精度的影响。 Baseline length and time is studied through numerical simulation, measurement error and azimuth measurement error effect on the positioning precision.