Genetic algorithm to fixed-order H2/H∞ adaptive filter for leak detecting signal of pipeline

Some difficulties exist in the signal processing of the leak detection of pipeline that is caused by the low signal-to-noise ratio. It can enhance signal-to-noise ratio for pressure and flow signals by the mixed H₂/H_∞ adaptive noise cancellation (MHANC). The MHANC is proposed to achieve the H₂ optimal reconstruction and a desired robust against the effect of uncertainties in signal processing from the H_∞ norm perspective. In order to simplify implementation and conserve operation time, the fixed-order MHANC is design from the practical design perspective. The genetic algorithm (GA) was used to obtain the optimum coefficients of the fixed-order MHANC. Practice results show that the fixed-order MHANC can obtain a excellent reconstruction of pressure and flow signals to improve the ability of the leak detecting of pipeline. Furthermore, reconstruction performance of the fixed-order MHANC is acceptable even if the coefficients of the noise cancellation are fixed or the noise character changes.