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The multiple-input multiple-output (MIMO) architecture with the layered space-time codes is a very promising solution for the high data rate underwater acoustic communications. The realization of this potential advantage, however, needs the essential layered space-time signal processing methods for canceling the interference resulting from the multipath propagation and the asynchronous arrivals of the sub-streams due to the different propagation delays, and the interference between the transmitted streams superposed in each receiving hydrophone. In this paper, the low-complex layered space-time signal detection scheme for the underwater acoustic communications is investigated. A propagation delay-based ordered successive interference cancellation (OSIC) algorithm is proposed at first. Sub-streams are sorted at the receiver according to the arrival orders resulting from the relative propagation delays inherent in the underwater acoustic channels from the transmitting transducers to the receiving hydrophones. The sub-stream with the first arrival is detected first. The proposed OSIC algorithm based on the "first-come first-go" principle has an advantage in the reduction of the interference from yet-to-be-detected sub-streams, therefore improving the detection performance at each step. The analysis manifests that the delay-based ordering is an optimal detection ordering to minimize the probability of overall block error for the asynchronous space multiplexing architectures. Then the ordering procedure is given which is performed by estimating the relative delays between the MIMO channels and requires only one ordering before the signal detection. This channel estimation-based method simplifies dramatically the ordering procedure and the calculations, therefore reducing substantially the calculation complexity of the layered signal detection. Finally, the single-carrier frequency domain equalization is employed to compensate for the multipath interference and the asynchronous arrival interference from the underwater acoustic propagation. Numerical results show that the performance gain can be obtained with the delay-based OSIC detection algorithm relative to the detection without ordering; moreover the gain increases substantially with the data rate. The investigation results demonstrates, on the other hand, that the inherent relative propagation delay in the underwater acoustic channels leading to asynchronous interference to the signal detection can be turned into an advantage to improve the performance with the efficient space-time signal processing algorithms.
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Keywords:
- ordered successive interference cancellation /
- multiple-input multiple-output /
- single-carrier frequency domain equalization /
- underwater acoustic communications
[1] Zhang J, Zheng Y R 2010 J. Acoust. Soc. Am. 128 2910
[2] Cho S E, Hee C S, Hodgkiss W S 2011 IEEE J. Ocean. Eng. 36 490
[3] Zhang X, Sun X L, Zhang X J 2010 J. Northwestern Polytechnical University 28 192 (in Chinese) [张歆, 孙小亮, 张小蓟 2010 西北工业大学学报 28 192]
[4] Reinhardt S, Buzid T, Huemer M 2006 PIMRC 2006- IEEE International Symposium on Personal, Indoor and Mobile Radio Communications Helsinki, Finland, September 11-14, 2006 p1
[5] Shang Y, Xia X G 2009 IEEE Trans. Wireless Commun. 8 2860
[6] Foschini G J, Golden G D, Reinaldo A 1999 IEEE J. Selected Areas Commun. 17 1841
[7] Lee S R, Park S H, Kim S W, Lee I 2009 IEEE Trans. Commun. 57 1648
[8] Jiang Y, Varanasi M K 2008 IEEE Trans. Wireless Commun. 7 3252
[9] Toboso A U, Loyka S, Gagnon F 2014 IEEE Trans. Commun. 62 100
[10] Ozyurt S, Torlak M 2013 IEEE Trans. Wireless Commun. 12 5377
[11] Loyka S, Loyka S, Gagnon F 2008 IEEE Trans. Wireless Commun. 7 3679
[12] Miridakis N I, Vergados D D 2013 IEEE Wireless Commun. Lett. 2 18
[13] Yang T C 2012 J. Acoust. Soc. Am. 131 129
[14] Zhang X, Zhang X J, Xing X F, Jiang L W 2014 Acta Phys. Sin. 63 194304 (in Chinese) [张歆, 张小蓟, 邢晓飞, 姜丽伟 2014 63 194304]
[15] He C B, Huang J G, Meng Q W, Zhang Q F, Shi W T 2013 Acta Phys. Sin. 62 234301 (in Chinese) [何成兵, 黄建国, 孟庆微, 张群飞, 史文涛 2013 62 234301]
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[1] Zhang J, Zheng Y R 2010 J. Acoust. Soc. Am. 128 2910
[2] Cho S E, Hee C S, Hodgkiss W S 2011 IEEE J. Ocean. Eng. 36 490
[3] Zhang X, Sun X L, Zhang X J 2010 J. Northwestern Polytechnical University 28 192 (in Chinese) [张歆, 孙小亮, 张小蓟 2010 西北工业大学学报 28 192]
[4] Reinhardt S, Buzid T, Huemer M 2006 PIMRC 2006- IEEE International Symposium on Personal, Indoor and Mobile Radio Communications Helsinki, Finland, September 11-14, 2006 p1
[5] Shang Y, Xia X G 2009 IEEE Trans. Wireless Commun. 8 2860
[6] Foschini G J, Golden G D, Reinaldo A 1999 IEEE J. Selected Areas Commun. 17 1841
[7] Lee S R, Park S H, Kim S W, Lee I 2009 IEEE Trans. Commun. 57 1648
[8] Jiang Y, Varanasi M K 2008 IEEE Trans. Wireless Commun. 7 3252
[9] Toboso A U, Loyka S, Gagnon F 2014 IEEE Trans. Commun. 62 100
[10] Ozyurt S, Torlak M 2013 IEEE Trans. Wireless Commun. 12 5377
[11] Loyka S, Loyka S, Gagnon F 2008 IEEE Trans. Wireless Commun. 7 3679
[12] Miridakis N I, Vergados D D 2013 IEEE Wireless Commun. Lett. 2 18
[13] Yang T C 2012 J. Acoust. Soc. Am. 131 129
[14] Zhang X, Zhang X J, Xing X F, Jiang L W 2014 Acta Phys. Sin. 63 194304 (in Chinese) [张歆, 张小蓟, 邢晓飞, 姜丽伟 2014 63 194304]
[15] He C B, Huang J G, Meng Q W, Zhang Q F, Shi W T 2013 Acta Phys. Sin. 62 234301 (in Chinese) [何成兵, 黄建国, 孟庆微, 张群飞, 史文涛 2013 62 234301]
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