Soft-in soft-out self-iterative soft equalization underwater acoustic communication method based on receiving hydrophone array
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
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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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