Research on Space-Time Adaptive Noise Reduction Based on Information Entropy

Usually, the logging signal strength is small and the noise interference is serious, effective noise reduction methods must be adopted to acquire real formation information. It is difficult to separate useful information by traditional filtering and noise reduction methods. To solve this problem, a reduced dimension space-time adaptive method based on the theory of information entropy is proposed to suppress the noise. The algorithm divides the received data into subarrays, performs short-time smoothing processing, estimates the covariance matrix, and dimensionality reduction of original space-time data. Simulation and experimental results show that the method can effectively suppress the noise in the logging echo on the premise of ensuring the complete formation information.