Blind equalization detector with adjustable observation window length applied to underwater acoustic communication

A technology of underwater acoustic communication and observation window, which is applied in the shaping network of transmitter/receiver, ultrasonic/sonic wave/infrasonic wave transmission system, baseband system, etc., to achieve the effect of improving transmission efficiency

Active Publication Date: 2018-10-23
HARBIN INST OF TECH AT WEIHAI
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  • Abstract
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  • Application Information

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Problems solved by technology

At this stage, there is still a lack of research on the adjustment of the length of the BED observation window.

Method used

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  • Blind equalization detector with adjustable observation window length applied to underwater acoustic communication
  • Blind equalization detector with adjustable observation window length applied to underwater acoustic communication
  • Blind equalization detector with adjustable observation window length applied to underwater acoustic communication

Examples

Experimental program
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Effect test

Embodiment

[0098]Based on the BELLHOP underwater acoustic channel model, a Monte Carlo simulation is established to evaluate system performance. In this model, the carrier frequency is 12KHz, the distance between the transmitter and receiver is set to 200 meters, and the transmitter and receiver are located 10 meters below the water surface. meters, the wave height is set to 0.2 meters, and the information bit frame length is assumed to be 500, and the modulation mode is 4-QAM. For FOWL-BED, OWL is set to 7, in AOWL-BED, OWL increment p is set to 2, and the initial OWL is 1, which is used to calculate the length N of each input sequence of ASE t for 10.

[0099] Verification about adaptive OWL tuning:

[0100] First, by means of simulation, the optimal OWL is obtained for a specific underwater acoustic channel implementation. The specific underwater acoustic channel is obtained by the BELLHOP underwater acoustic channel model, figure 2 The influence of OWL on Steady-State Mean Square...

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Abstract

The invention relates to the technical field of underwater acoustic communication, and in particular relates to a blind equalization detector with an adjustable observation window length (OWL) appliedto underwater acoustic communication, which can adaptively adjust the length of an observation window according to specific underwater acoustic channel envelope. Compared with the prior art, the blind equalization detector can adaptively adjust the OWL according to the specific underwater acoustic channel; in addition, the detector provided by the invention is achieved based on a blind equalization algorithm without a training sequence, so that the transmission efficiency can be improved, and the blind equalization detector is more applicable to the actual underwater acoustic communication system.

Description

Technical field: [0001] The invention relates to the technical field of underwater acoustic communication, in particular to a blind equalization detector with adjustable observation window length for underwater acoustic communication which can adaptively adjust the length of the observation window according to the specific underwater acoustic channel envelope. Background technique: [0002] For digital information transmission, the underwater acoustic channel is one of the most challenging channels. In this channel, multipath transmission will cause intersymbol interference (ISI, Intersymbol Interference), which can even affect hundreds of transmission symbols, resulting in severe frequency selective fading and signal distortion. [0003] ISI can seriously affect the performance of underwater acoustic communication. Therefore, various equalization techniques have been developed to eliminate ISI. Most of the existing equalization technologies work in the traditional mode, w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/03H04B11/00H04B13/02
CPCH04B11/00H04B13/02H04L25/03006H04L25/0307
Inventor 刘志勇汪引引白帆
Owner HARBIN INST OF TECH AT WEIHAI
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