ID 原文 译文
11164 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.
11165 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.
11166 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.
11167 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.
11168 仿真分析结果表明:随着基线长度增加,发射站和接收站两侧区域定位精度进一步改善,但会造成基线区的定位误差增大; Simulation results show that, with the baseline length increases, the station and station area on both sides to further improve positioning accuracy, but it will cause the positioning error increases the baseline;
11169 在基线长度一定时,时间和方位测量误差增大均造成定位精度下降,且算法精度对方位测量误差相对敏感。 When a certain baseline length, time, and the azimuth measurement error increases are falling positioning accuracy, and precision of algorithm each other a relatively sensitive to measurement errors.
11170 与同等条件下的单基地声纳定位相比,双基地BTBL算法在接收站点具有明显的探测优势。 Compared with the same condition of single base sonar, double base BTBL algorithm in the detection of receiving site has obvious advantages.
11171 该研究为T-R型双基地系统的水下定位提供了理论依据。 The study of type T - R bistatic system provides theory basis for underwater positioning.
11172 低密度奇偶校验码(low-density parity-check codes,LDPC)以其接近香农极限的性能和相对简单的译码结构得到信道编码界的广泛关注。 Low density parity check code (low density parity check - codes, LDPC) with its close to shannon limit performance and relatively simple decoding structure widely attention in the field of channel coding.
11173 对LDPC码的最小和算法进行了深入地研究,通过多种方法量化译码时的初始消息,最终使得每次迭代的校验消息与变量消息都变为整数,实现了基于整数运算的最小和译码算法,并进行了对比分析。 ‭Minimum and algorithm for LDPC code has carried on the thorough research, through a variety of methods to quantify the initial message when decoding, eventually making each iteration of the checking news with integer variable message, and implements the minimum and decoding algorithm based on integer arithmetic, and has carried on the comparison and analysis.