Study On Noisy Signal Recovery Method Based On Improved Adaptive Tracking Differentiator

In many engineering applications such as communications,radar,image processing,geological exploration and other fields,detecting and receiving devices are necessary.The presence of noise seriously affected the correctness of original signal processing.Therefore,how to extract or recover valid original signal from noise environment is critical for system performance.Traditional noisy-signal recovery technology combines characteristics of signals,such as frequency,amplitude,phase and mathematical methods,but those characteristics are still not stable enough,the parameter tuning method is still complicated,and the amount of calculation is still too large.Tracking differential algorithm proposed by HAN Jingqing improved complexity and real-time performance of noisy signal recovery.Tracking performance and anti-jamming ability of traditional algorithm are both good for pure signal,but for noisy signal,both of them will be weakened to some extent.Combined with adaptive adjustment function,accurate tracking distance estimation is proposed to optimize tracking speed,convergence performance and anti noise ability of traditional tracking differentiator.Main works of studying the noisy signal recovery method based on improved adaptive tracking differentiator(IATD)are as follows:1)The reason is analyzed that noisy parameters are introduced into tracking differentiator(TD)in the process of tracking noisy signal.In order to improve tracking performance,moving window standard deviation(MWSD)estimation and adaptive adjustment function of tracking distance is proposed.That optimizes the fastness and convergence of tracking differentiator.2)In order to verify the effectiveness and engineering-application value of improved adaptive tracking differentiator(IATD),numerical simulation platform,digital signal processing(DSP)application platform and application specific integrated circuit(ASIC)platform is designed,hardware and software of each platform is accomplished.3)Based on the designed platforms,the whole scheme of algorithm performance research is decided,the experiments of algorithm performance are conducted,and the results are analyzed.In the research,algorithm tracking contrast in simulation platform demonstrates the correctness of proposed algorithm;algorithm contrast in C language-based DSP platform shows the effectiveness of proposed IATD;experiment in Verilog language-based ASIC platform proves feasibility of the proposed algorithm hardware modularization.