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On the Simulation Performance of FEC SOQPSK-TG Systems with Symbol by Symbol and SOVA Decoding Methods

机译:符号和SOVA解码方法与符号的FEC SOQPSK-TG系统的模拟性能

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A number of encoding and decoding methods for SOQPSK-TG are evaluated with their simulation performance under additive white Gaussian noise (AWGN) channel. The two forward error correction (FEC) codes are serial concatenated convolutional code (SCCC) and low-density parity-check code (LDPC). Two decoding methods are applied: soft-output Viterbi algorithm (SOVA) and symbol by symbol (SxS) detection. Pulse amplitude modulation (PAM) and pulse truncation (PT) filters are designed for SOVA decoding, and numerically optimum (NO) and integrate and dump (I&D) filters are employed for the SxS methods. We discuss the performance of these schemes by comparing and analyzing their Matlab simulation. The LDPC and SOVA with PAM filter outperforms over all the other combinations. We also use timing and phase recovery with various loop bandwidths. The system structures and the synchronization technique are discussed in this paper.
机译:在附加白色高斯噪声(AWGN)通道下,通过其仿真性能评估了SOQPSK-TG的许多编码和解码方法。两个前向纠错(FEC)代码是串行连接卷积码(SCCC)和低密度奇偶校验码(LDPC)。应用了两个解码方法:软输出维特比算法(SOVA)和符号(SXS)检测。脉冲幅度调制(PAM)和脉冲截短(PT)滤波器被设计用于SOVA解码,并且为SXS方法采用数值最佳(NO)和集成和转储(I&D)滤波器。我们通过比较和分析他们的Matlab模拟来讨论这些方案的性能。具有PAM滤波器的LDPC和SOVA优于所有其他组合。我们还使用各种环路带宽使用定时和相位恢复。本文讨论了系统结构和同步技术。

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