Performance Optimization of NavIC Receiver Using LabVIEW-Based Wavelet Denoising

Global Navigation Satellite System (GNSS) receivers perform many important signal-processing operations, among which signal acquisition is of great importance. The acquisition provides a coarse estimate of the code delay and Doppler frequency values of the received signal, which plays an important role in synchronizing the local code with the received signal. Depending on the application domain, GNSS signals may be affected by indoor and urban channel conditions, interference, and jamming. Since the GNSS signal has to travel thousands of kilometers to reach the receiver antenna and then the receiver circuitry, the received signal becomes weak and degraded. One way to deal with such situations is the implementation of an advanced signal-processing algorithm in the receiver capable of giving appropriate warnings or improving the receiver’s performance. In this paper, we propose a method based on wavelet denoising that helps improve receiver acquisition sensitivity, thus stepping up the accuracy of the receiver. The proposed method uses wavelet transform (WT) to divide the wavelet space, with improved de-correlation capability resulting in improved signal acquisition. This method is implemented on a Navigation with Indian Constellation (NavIC) receiver built on a LabVIEW-based software platform. Real-time experiments showed that the proposed method could improve the acquisition and receiver performance by 49–52% under the degraded signal environment.