水聲通信中基于軟判決的塊迭代判決反饋均衡器

景連友; 何成兵; 張玲玲; 孟慶微; 黃建國(guó); 張群飛

doi:10.11999/JEIT150669

水聲通信中基于軟判決的塊迭代判決反饋均衡器

doi: 10.11999/JEIT150669 cstr: 32379.14.JEIT150669

1.
(西北工業(yè)大學(xué)航海學(xué)院西安 710072) ②(空軍工程大學(xué)信息與導(dǎo)航學(xué)院西安 710077)

基金項(xiàng)目:

國(guó)家自然科學(xué)基金(61471298, 61271415, 61401499)

計(jì)量
- 文章訪問(wèn)數(shù): 1524
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2015-06-04
- 修回日期: 2015-12-25
- 刊出日期: 2016-04-19

Iterative Block Decision Feedback Equalizer with Soft Detection for Underwater Acoustic Channels

1.
(School of Marine Science and Technology, Northwestern Polytechnical University, Xi&rsquo
2.
(Information and Navigation Institute, Air Force Engineering University, Xi&rsquo

Funds:

The National Natural Science Foundation of China (61471298, 61271415, 61401499)

摘要

摘要: 在單載波頻域均衡水聲通信系統(tǒng)中，混合結(jié)構(gòu)的時(shí)-頻域判決反饋均衡器(H-DFE)計(jì)算復(fù)雜度高，不利于實(shí)時(shí)實(shí)現(xiàn)；而基于硬判決的塊迭代判決反饋均衡器(HD-IBDFE)存在錯(cuò)誤符號(hào)判決造成系統(tǒng)性能下降問(wèn)題，同時(shí)需要估計(jì)判決符號(hào)和發(fā)射數(shù)據(jù)之間的互相關(guān)函數(shù)。該文對(duì)水聲通信中基于軟判決的塊迭代判決反饋均衡(SD-IBDFE)接收機(jī)算法進(jìn)行了研究，通過(guò)對(duì)均衡器輸出信號(hào)進(jìn)行軟判決，并將符號(hào)軟信息進(jìn)行反饋，提高了系統(tǒng)性能，同時(shí)采用迭代信道估計(jì)方法來(lái)適應(yīng)水聲信道的時(shí)變性。通過(guò)仿真比較得出，該方法在水聲信道條件下明顯優(yōu)于HD- IBDFE。對(duì)湖上試驗(yàn)數(shù)據(jù)處理結(jié)果表明，在淺水1.8 km通信距離下，單通道無(wú)編碼QPSK調(diào)制可實(shí)現(xiàn)10-3的誤碼率并達(dá)到3000 bps的有效數(shù)據(jù)率。
- 水聲通信 /
- 單載波頻域均衡 /
- 軟判決反饋均衡器 /
- 迭代信道估計(jì) /
- 湖上試驗(yàn)
Abstract: In single-carrier modulation system with frequency domain equalization, Decision Feedback Equalizer with a Hybrid time-frequency structure (H-DFE) is attractive for its performance; the complexity is also significant, especially for very dispersive channels. Iterative Block Decision Feedback Equalizer with Hard Detection (HD-IBDFE) system performance degrades caused by errors in symbol decision and it needs to calculate the correlation factor of the transmitted and hard detected data. To solve these problems, Iterative Block Decision Feedback Equalizer with Soft Detection (SD-IBDFE) is introduced to improve the system performance. The receiver feedbacks the soft information of the equalizers output. The iterative channel estimation is adopted in order to deal with the time-varying underwater acoustic channels. Simulation results show that SD-IBDFE is superior to HD-IBDFE obviously for underwater acoustic channel. One underwater acoustic communication system is designed and tested in the lake. At a distance of 1.8 km with complex channel condition, the useful data rate of around 3000 bps is achieved with uncoded bit error rates10-3inlake experiment.

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