Soft-in soft-out self-iterative soft equalization underwater acoustic communication method based on receiving hydrophone array
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A hydrophone array and underwater acoustic communication technology, which is applied to the shaping network, baseband system, and baseband system components in the transmitter/receiver, and can solve problems such as limited performance and poor reliability
Active Publication Date: 2016-03-23
HARBIN ENG UNIV
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[0005] The purpose of the present invention is to provide a soft-in and soft-out system based on receiving hydrophone arrays that solves the problem of limited performance and poor reliability of a single equalizer in the traditional iterative underwater acoustic channel equalization technology under the condition of underwater acoustic channels. Iterative Soft Equalization Method for Underwater Acoustic Communication
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specific Embodiment approach 1
[0045] Specific implementation mode one: combine figure 1 Description of this embodiment, the soft-in and soft-out iterative soft-balanced underwater acoustic communication method based on the receiving hydrophone array includes the following steps:
[0046] Step 1. The communication transmitter adopts binary QC-LDPC encoding to channel encode the binary information bit stream b, b=[b 1 ,b 2 ,...,b l ,...b L ], L is the length of the binary information bit stream, where b l ∈{0,1}, l=1,...,L; perform interleaving and symbol mapping on the coded information bit stream, and obtain the symbol stream x=[x 1 ,x 2 ,...,x k ,...x K ], K is the length of the symbol stream, k∈[1,K]; x k Can be any phase modulation symbol (as BPSK or QPSK etc.), the present invention is example with BPSK modulation; With x=[x 1 ,x 2 ,...,x K ] modulated onto the designated carrier and sent out;
[0047] Step 2, the transmission signal of step 1 reaches the receiving end of each hydrophone in...
specific Embodiment approach 2
[0049] Embodiment 2: The branch equalizer includes two parts: channel estimation and channel equalization. The channel equalization algorithm in the branch equalizer described in step 2 of this embodiment adopts a decision feedback equalization algorithm, a linear equalization algorithm or a decision feedback equalization algorithm. Combination algorithm with linear equalization algorithm.
[0050] Other steps are the same as in the first embodiment.
specific Embodiment approach 3
[0051] Embodiment 3: The channel estimation part of the branch equalizer described in step 2 in this embodiment adopts the classical adaptive RLS algorithm.
[0052] Other steps are the same as in the second embodiment.
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Abstract
The invention relates to the technical field of underwater acoustic communication, in particular to a soft-in soft-out self-iterative soft equalization underwater acoustic communication method based on a receiving hydrophone array. The method comprises the following steps that a communication transmitting terminal carries out channel coding on a binary information bit stream b by adopting binary quasi ring low-density parity check code coding; after a transmitting signal passes through a multi-path extended channel, the transmitting signal reaches a receiving end of each hydrophone in the receiving hydrophone array; and each receiving hydrophone is taken as a branch equalizer of a self-iterative equalizer. In comparison with the conventional underwater acoustic channel equalization method, the multi-path interference can be effectively reduced, the communication performance is improved and approaches to an optimal MAP equalization algorithm, and the complexity is lower. In comparison with the conventional underwater acoustic channel equalization method, the reliability of the method is improved by more than 30%.
Description
technical field [0001] The invention relates to the technical field of underwater acoustic communication, in particular to a soft-in and soft-out iterative soft-balanced underwater acoustic communication method based on a receiving hydrophone array. Background technique [0002] In traditional (non-iterative, i.e., no soft information exchange between equalizer and decoder) communication systems, decision feedback equalization (DFE) outperforms linear equalization (LE), even though decision feedback equalization has errors transmission phenomenon. However, studies have shown that when the feedback filter output is a hard decision, the performance of the soft-in soft-out decision feedback equalizer (SISO-DFE) is much worse than that of the soft-in soft-out linear equalizer (SISO-LE), which is mainly due to the error transfer. In the classic decision feedback system, many techniques have been used to reduce error transmission. Recently, the two-way decision feedback idea was...
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