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Pilot-assisted technique on LDPC-coded COFDM-CDMA in frequency-selective multipath fading channels

机译:选频多径衰落信道中LDPC编码的COFDM-CDMA的导频辅助技术

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The low-density parity-check code is known for a superior signal reception capability in AWGN and/or flat fading channels with respect to increased encoding rates, however, its performance degrades when the communication channel becomes multipath fading. In this paper we have investigated a novel approach applying a pilot-assisted LDPC coding to a coded OFDM-CDMA system, which operates in a multipath fading mobile channel. In a typical multipath fading mobile channel with a SNR of 16 dB or lower, however, it is a challenging problem to obtain a BER lower than 1 out of I05 when the LDPC encoding rate is about 1/4. In order to enhance the performance of the proposed system we have improve the LDPC decoding algorithm by incorporating the pilot information with the parity check bit. In contrast to the conventional 1/4-rate LDPC coded transmission symbol that is consisted of data bits and parity-check bits in 1 to 3 proportion, in the proposed method the same rate LDPC transmission symbol contains data bits, parity-check bits, and pilot bits in 1 to 2 to 1 proportion, respectively. The included pilot bits are effective not only for channel estimation and equalization but for LDPC symbol decoding by assisting the parity-check bits. The proposed system performance has been verified using computer simulations in multipath, Rayleigh fading channels, and the results show us usefulness of the proposed method over the conventional LDPC coding methods in terms of SNR vs BER measurements.
机译:低密度奇偶校验码在AWGN和/或平坦衰落信道中相对于增加的编码速率具有卓越的信号接收能力,但是,当通信信道变为多径衰落时,其性能会下降。在本文中,我们研究了一种将导频辅助LDPC编码应用于在多径衰落移动信道中工作的已编码OFDM-CDMA系统的新颖方法。然而,在SNR为16 dB或更低的典型多径衰落移动信道中,当LDPC编码速率约为1/0时,要获得低于I0 5 中的1的BER是一个挑战性的问题。 4。为了增强所提出系统的性能,我们通过将导频信息与奇偶校验位合并来改进LDPC解码算法。与由数据位和奇偶校验位以1至3的比例组成的常规1/4速率LDPC编码传输符号相反,在所提出的方法中,相同速率的LDPC传输符号包含数据位,奇偶校验位,和导频位分别以1:2:1的比例。通过辅助奇偶校验位,包括的导频位不仅对信道估计和均衡有效,而且对LDPC符号解码也有效。所提出的系统性能已经在多径,瑞利衰落信道中使用计算机仿真进行了验证,结果表明,相对于SNR和BER测量,该方法相对于传统LDPC编码方法很有用。

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