ID 原文 译文
23155 利用数字电视地面广播(DTTB)辐射源中的 PN 序列进行信杂比估计时，将出现接收信号相对于本地帧头的分数阶时延问题，导致信杂比估计出现严重偏差。 When PN sequence in the Digital Terrestrial Television Broadcast (DTTB) illuminator is utilized for SCR estimation, there will be the problem of fractional-delay received signal relative to local PN sequence, which leads to a severe deviation of SCR estimation.
23156 针对该问题，该文利用信号在时延维的稀疏性，提出基于压缩感知的信杂比估计算法。 For this problem, a novel algorithm based on compressive sensing is proposed by exploiting the sparsity of signal in delay dimension.
23157 仿真结果表明，该算法对不同强弱的信号都能得到精确的时延和强度估计，从而保证了信杂比估计的准确性。 Simulation demonstrates that accurate estimation of delay and strength for signals of different strength can be obtained by the proposed algorithm, which ensures the accuracy of SCR estimation.
23158 实测数据处理结果表明，实测数据的参考信号信杂比较高，积累损失较小，约为 0.5  d B； The processing of experimental data shows that the whole SCR in the received data is relatively high and the integration loss is trivial, about 0.5 dB.
23159 信杂比与基线距离有关，基线越长信杂比越低，积累损失越大。 In addition, SCR decreases with the length of baseline, which leads to the increase of integration loss.
23160 该文提出一种基于原模图低密度奇偶校验(P-LDPC)码的分布式联合信源信道编译码系统方案。 This paper proposes a Distributed Joint Source-Channel Coding (DJSCC) scheme using Protograph Low Density Parity Check (P-LDPC) code.
23161 该方案编码端，分布式信源发送部分信息位及校验位以同时实现压缩及纠错功能； In the proposed scheme, the distributed source encoder sends some information bits together with the parity bits to simultaneously achieve both distributed compression and channel error correction.
23162 译码端，联合迭代信源信道译码的运用进一步发掘信源的相关性以获得额外的编码增益。 Iterative joint decoding is introduced to further exploit the source correlation.
23163 此外，论文研究了所提方案在译码端未知相关性系数的译码算法。 Moreover, the proposed scheme is investigated when the correlation between sources is not known at the decoder.
23164 仿真结果表明，所提出的基于 P-LDPC 码的分布式联合信源信道编译码方案在外部迭代次数不大的情况可以获得较大的性能增益，并且相关性系数在译码端已知和未知系统性能基本相当。 Simulation results indicate that the proposed DJSCC scheme can obtain relatively large additional coding gains at a relatively small number of global iterations, and the performance for unknown correlated sources is almost the same as that for known correlated sources since correlation can be estimated jointly with the iterative decoding process.