水聲變換域通信技術(shù)中的MMP-DCD稀疏信道估計(jì)方法
發(fā)布時(shí)間：2018-11-18 14:28
【摘要】：針對帶限的水聲通信系統(tǒng)在干擾嚴(yán)重的水下環(huán)境中性能嚴(yán)重惡化問題,本文將變換域通信系統(tǒng)(TDCS)技術(shù)引入水聲通信領(lǐng)域,利用水聲信道的稀疏特性,提出了一種基于對分坐標(biāo)下降(DCD)技術(shù)的多路徑匹配追蹤(MMP)稀疏水聲信道估計(jì)方法,該方法滿足約束等距限制(RIP),每次搜索出與殘差向量最相關(guān)的多個(gè)可能的支撐集,而DCD技術(shù)可以解決MMP信道估計(jì)算法中矩陣求逆帶來的運(yùn)算量大以及數(shù)值不穩(wěn)定問題,特別適用于FPGA等定點(diǎn)硬件平臺(tái)。研究結(jié)果表明:MMP-DCD算法估計(jì)所得的水聲信道均方誤差、誤碼率性能比最小二乘法好;卷積碼編碼可以降低該通信系統(tǒng)誤碼率。
[Abstract]:In order to solve the problem of serious deterioration of underwater acoustic communication system with band limit, the transform domain communication system (TDCS) is introduced into the underwater acoustic communication field, and the sparse characteristic of underwater acoustic channel is utilized. In this paper, a multi-path matching tracing (MMP) sparse channel estimation method based on descending (DCD) technique is proposed. The proposed method meets the constraint of equidistant constraint (RIP),. Several possible support sets that are most relevant to the residual vector are found each time, and the DCD technique can solve the problems of large computation and numerical instability caused by matrix inversion in the MMP channel estimation algorithm, which is especially suitable for fixed-point hardware platforms such as FPGA. The results show that the mean square error of underwater acoustic channel estimated by MMP-DCD algorithm is better than that of the least square method, and the convolutional code coding can reduce the bit error rate of the communication system.
【作者單位】： 哈爾濱工程大學(xué)水聲技術(shù)重點(diǎn)實(shí)驗(yàn)室;哈爾濱工程大學(xué)水聲工程學(xué)院;水聲對抗技術(shù)重點(diǎn)實(shí)驗(yàn)室;
【基金】：國家自然科學(xué)基金項(xiàng)目(50909029,61471138,61531012) 國際科技合作專項(xiàng)項(xiàng)目(2013DFR20050) 水聲技術(shù)重點(diǎn)實(shí)驗(yàn)室基金項(xiàng)目(201420040) 國防基礎(chǔ)科研項(xiàng)目(B2420132004)
【分類號】：TN929.3
[Abstract]:In order to solve the problem of serious deterioration of underwater acoustic communication system with band limit, the transform domain communication system (TDCS) is introduced into the underwater acoustic communication field, and the sparse characteristic of underwater acoustic channel is utilized. In this paper, a multi-path matching tracing (MMP) sparse channel estimation method based on descending (DCD) technique is proposed. The proposed method meets the constraint of equidistant constraint (RIP),. Several possible support sets that are most relevant to the residual vector are found each time, and the DCD technique can solve the problems of large computation and numerical instability caused by matrix inversion in the MMP channel estimation algorithm, which is especially suitable for fixed-point hardware platforms such as FPGA. The results show that the mean square error of underwater acoustic channel estimated by MMP-DCD algorithm is better than that of the least square method, and the convolutional code coding can reduce the bit error rate of the communication system.
【作者單位】： 哈爾濱工程大學(xué)水聲技術(shù)重點(diǎn)實(shí)驗(yàn)室;哈爾濱工程大學(xué)水聲工程學(xué)院;水聲對抗技術(shù)重點(diǎn)實(shí)驗(yàn)室;
【基金】：國家自然科學(xué)基金項(xiàng)目(50909029,61471138,61531012) 國際科技合作專項(xiàng)項(xiàng)目(2013DFR20050) 水聲技術(shù)重點(diǎn)實(shí)驗(yàn)室基金項(xiàng)目(201420040) 國防基礎(chǔ)科研項(xiàng)目(B2420132004)
【分類號】：TN929.3
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