联合重叠压缩感知法消除水声通信系统限幅噪声
发布时间：2018-07-31 13:22
【摘要】：针对正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)水声通信系统的高峰值平均功率比(Peakto-Average Ratio,PAPR)问题,在发射端采用了压扩变换法和限幅法联合的方法降低PAPR。由于限幅法会产生带内干扰和带外噪声,降低通信系统的误码性能,因此利用限幅噪声的稀疏性,在接收端采用压缩感知(Compressed Sensing,CS)法对限幅噪声进行估计和恢复。限幅噪声的估计受信道估计准确性的影响,为提高限幅噪声估计的准确度,提出了重叠压缩感知算法,在恢复限幅噪声的过程中利用了压缩感知信道估计法估计所得的信道信息和发射数据对限幅噪声进行估计,有效降低了限幅法对系统误码性能的影响。仿真和水池实验验证了该算法的有效性。
[Abstract]:In order to solve the problem of high peak-to-average power ratio (Peakto-Average Ratio PAPR) in orthogonal frequency division multiplexing (OFDM-OFDM) underwater acoustic communication system, the compression and spread transform method and amplitude limiting method are used to reduce the PAPRs at the transmitter. Because the amplitude limiting method can produce intra-band interference and out-of-band noise and reduce the error performance of the communication system, the amplitude limiting noise is estimated and restored by Compressed sensing CS method at the receiving end by using the sparsity of the amplitude limiting noise. The estimation of amplitude limiting noise is affected by the accuracy of channel estimation. In order to improve the accuracy of amplitude limiting noise estimation, an overlap compression sensing algorithm is proposed. In the process of recovering the amplitude limiting noise, the channel information and the transmit data are used to estimate the amplitude limiting noise by using the compressed perceptual channel estimation method, which effectively reduces the influence of the amplitude limiting method on the error performance of the system. The effectiveness of the algorithm is verified by simulation and tank experiments.
【作者单位】： 哈尔滨工程大学水声工程学院水声技术重点实验室;齐齐哈尔大学通信与电子工程学院;
【基金】：国家自然科学基金项目(61431004,61601137,11304056,61401114,11274079) 黑龙江省普通高等学校新世纪优秀人才培养计划项目(1253-NECT025)资助
【分类号】：TN929.3
[Abstract]:In order to solve the problem of high peak-to-average power ratio (Peakto-Average Ratio PAPR) in orthogonal frequency division multiplexing (OFDM-OFDM) underwater acoustic communication system, the compression and spread transform method and amplitude limiting method are used to reduce the PAPRs at the transmitter. Because the amplitude limiting method can produce intra-band interference and out-of-band noise and reduce the error performance of the communication system, the amplitude limiting noise is estimated and restored by Compressed sensing CS method at the receiving end by using the sparsity of the amplitude limiting noise. The estimation of amplitude limiting noise is affected by the accuracy of channel estimation. In order to improve the accuracy of amplitude limiting noise estimation, an overlap compression sensing algorithm is proposed. In the process of recovering the amplitude limiting noise, the channel information and the transmit data are used to estimate the amplitude limiting noise by using the compressed perceptual channel estimation method, which effectively reduces the influence of the amplitude limiting method on the error performance of the system. The effectiveness of the algorithm is verified by simulation and tank experiments.
【作者单位】： 哈尔滨工程大学水声工程学院水声技术重点实验室;齐齐哈尔大学通信与电子工程学院;
【基金】：国家自然科学基金项目(61431004,61601137,11304056,61401114,11274079) 黑龙江省普通高等学校新世纪优秀人才培养计划项目(1253-NECT025)资助
【分类号】：TN929.3
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