Multimedia systems and equipment. Multimedia signal transmission. Dependable line code with error correction

2017 ◽  
Keyword(s):  
Error Correction ◽  
Signal Transmission ◽  
Multimedia Systems

Design and Implementation of CRC Error Correction for ADS-B System Responding Based on FPGA

2014 ◽  
Vol 577 ◽  
pp. 994-997 ◽  
Author(s):  
Yu Ping Ma ◽  
Jun Zhang
Keyword(s):  
Error Correction ◽  
Error Detection ◽  
Signal Transmission ◽  
Confidence Judgment ◽  
Verilog Hdl ◽  
Correction Process ◽  
Signal Error ◽  
Error Detection And Correction ◽  
Working Principle ◽  
Error Correction Algorithm

Automatic Dependent Surveillance Broadcast (ADS-B) system signal error detection and correction process scheme are introduced in this paper, and the working principle of cyclic redundancy check (CRC) is described. Then, this paper provides an error correction algorithm based on the confidence judgment and an error correction process flow chart based on ADS-B system. Finally, the design of CRC checksum is performed by taking use of Verilog HDL, and the simulation and verification are achieved in Modelism software platform. Experimental results show that the algorithm can carry out verification and error correction for ADS-B responding signal and can improve the reliability of ADS-B system signal transmission.

Analog Codes for Gross Error Correction in Signal Transmission

2011 ◽  
Vol 341-342 ◽  
pp. 514-518 ◽  
Author(s):  
Fang Ning Hu ◽  
Werner Henkel ◽  
Ming Jie Zhao
Keyword(s):  
Error Correction ◽  
Background Noise ◽  
Signal Transmission ◽  
Complex Numbers ◽  
Original Signal ◽  
Decoding Algorithm ◽  
Reed Solomon Codes ◽  
Gross Error ◽  
As If

We proposed a novel decoding algorithm for Analog Codes (Reed-Solomon Codes over complex numbers), thesyndrome repairing(SR) algorithm, for gross error correction in signal transmission. Simulations show that, if the number of gross errors is not too large and the amplitude of background noise is small enough (compared to the amplitude of gross errors), the SR algorithm recovers the original signal with nearly the same accuracy as if no gross errors occur upon transmission. In particular, if the transmission is background-noise-free, then the recovery is exact.

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