Research of High-voltage Impulse Track Circuit Receiver Based on Software-Algorithms

This paper aims to design a type of track receiver that relies on software algorithms and to optimize the whole structure of the track receiver. A voltage sensor is placed between the sender and receiver in a track circuit to collect high-voltage pulse signals generated by the sender. These signals are then sent to the CPU of the receiver for software operation. At the same time, the receiver also collects the high-voltage pulse signals from the track circuit. First, the Butterworth Low-Pass filters out 50Hz traction current of the pulse signals. These signals are the outputs from two different types of operating CPUs. Consequently, the main goal of this paper is to successfully design two sets of CPUs that respectively adopt two types of software algorithms, FFT and Mallat. It will be proven that this improved scheme has possibly reached the qualities of high speed and accuracy of CPU operation, and obviously improves instantaneity and reliability. It has been shown that this scheme, which is more feasible, has a higher degree of automation and is easier to maintain than the original equipments practically used. Hence, the scheme has the possibility of owning a much brighter application prospect in the future. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.361

Denoising Method of MEMS Gyroscope Based on Interval Empirical Mode Decomposition

The microelectromechanical system (MEMS) gyroscope has low measurement accuracy and large output noise; the useful signal is often submerged in the noise. A new denoising method of interval empirical mode decomposition (IEMD) is proposed. Firstly, the traditional EMD algorithm is used to decompose the signal into a finite number of intrinsic mode functions (IMFs). Based on the Bhattacharyya distance analysis and the characteristics of the autocorrelation function, a screening mechanism is proposed to divide IMFs into three categories: noise IMFs, mixed IMFs, and signal IMFs. Then, the traditional modelling filtering method is used to filter the mixed IMFs. Finally, the mixed IMFs after modelling and filtering and signal IMFs are reconstructed to obtain the denoised signal. In the experimental analysis, the static denoising experiment of the turntable, the Allan variance analysis, dynamic denoising experiment, and vehicle experiment are set up in this paper, which fully proves that the method has obvious advantages in denoising and greatly improves the quality of signal and the accuracy of the inertial navigation system solution.</jats:p