Performance Analysis of Receiver for Underwater Acoustic Communications Using Acquisition Data in Shallow Water

被引:0
|
作者
Kim, Seung-Geun
Kim, Sea-Moon
Yun, Changho
Lim, Young-Kon
机构
来源
JOURNAL OF THE ACOUSTICAL SOCIETY OF KOREA | 2010年 / 29卷 / 05期
关键词
Joint Channel Equalizer and Phase Tracker; Channel Equalizer; Receiver Design; Underwater Acoustic Communications; QPSK; Low-Pass Filter;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
This paper describes an acoustic communication receiver structure, which is designed for QPSK (Quadrature Phase Shift Keying) signal with 25 kHz carrier frequency and 5 kHz symbol rate, and takes samples from received signal at 100 kHz sampling rate, Based on the described receiver structure, optimum design parameters, such as number of taps of FF (Feed-lForward) and FB (Feed-Back) filters and forgetting factor of RLS (Recursive Least Square) algorithm, of joint equalizer are determined to minimize the BER (Bit Error Rate) performance of the joint equalizer output symbols when the acquisition data in shallow water using implemented acoustic transducers is decimated at a rate of 21 and then enforced to the input of receiver. The transmission distances are 1,4 km, 2,9 km, and 4.7 km, Analysis results show that the optimum number of taps of FF and FB filters are different according to the distance between source and destination, but the optimum or near optimum value of forgetting factor is 0,997. Therefore, we can reach a conclusion that the proper receiver structure could change the number of taps of FF and FB filters with the fixed forgetting factor 0,997 according to the transmission distance, Another analysis result is that there are an acceptable performance degradation when the 16-tap-length simple filter is used as a low-pass filter of receiver instead of 1.61-tap-length matched. filter,
引用
收藏
页码:303 / 313
页数:11
相关论文
共 47 条
  • [21] Performance Prediction of Underwater Acoustic Communications Based on Channel Impulse Responses
    Lucas, Evan
    Wang, Zhaohui
    APPLIED SCIENCES-BASEL, 2022, 12 (03):
  • [22] Simplex underwater acoustic communications using passive time reversal
    Sun, Lin
    Li, Ruo
    Zou, Bo
    Dong, Zhaoqi
    Li, Haisen
    PROCEEDINGS OF THE 2015 INTERNATIONAL INDUSTRIAL INFORMATICS AND COMPUTER ENGINEERING CONFERENCE, 2015, : 1519 - 1522
  • [23] Performance of underwater data transmission using incoherent modulation MFSK in very shallow waters
    Schmidt, Jan H.
    Schmidt, Aleksander M.
    Kochanska, Iwona
    Studanski, Ryszard
    Zak, Andrzej
    INTERNATIONAL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS, 2024, 70 (04) : 861 - 869
  • [24] Iterative Sparse Channel Estimation and Data Detection for Underwater Acoustic Communications Using Partial Interval Demodulation
    Arunkumar, K. P.
    Murthy, Chandra R.
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2018, 66 (19) : 5041 - 5055
  • [25] Energy Consumption Model for a Broadband Shallow-Water Acoustic Communications Network
    Rouseff, Daniel
    Fox, Warren L. J.
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2008, 33 (03) : 335 - 340
  • [26] Investigation of Mode Filtering as a Preprocessing Method for Shallow-Water Acoustic Communications
    Morozov, Andrey K.
    Preisig, James C.
    Papp, Joseph C.
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2010, 35 (04) : 744 - 755
  • [27] Design of RC-LDPC codes and its application for shallow water acoustic communications
    Chen, Yougan
    Xu, Xiaomei
    Zhang, Lan
    Journal of Convergence Information Technology, 2012, 7 (12) : 177 - 185
  • [28] Making the most of field data to support underwater acoustic communications R&D
    Deane, Grant
    Preisig, James
    Singer, Andrew C.
    2018 FOURTH UNDERWATER COMMUNICATIONS AND NETWORKING CONFERENCE (UCOMMS), 2018,
  • [29] Towards Robust High Speed Underwater Acoustic Communications Using Chirp Multiplexing
    Shi, Jiacheng
    Demirors, Emrecan
    Melodia, Tommaso
    OCEANS 2018 MTS/IEEE CHARLESTON, 2018,
  • [30] Improving Passive Time Reversal Underwater Acoustic Communications Using Subarray Processing
    He, Chengbing
    Jing, Lianyou
    Xi, Rui
    Li, Qinyuan
    Zhang, Qunfei
    SENSORS, 2017, 17 (04)