Research On Ultra-wideband Signal Detection Method Based On Improved Stochastic Resonance

With the rapid development of communication technology,ultra-wideband technology,as a new type of wireless communication technology,has outstanding advantages in indoor short-distance positioning.Compared with traditional communication technology,ultra-wideband communication does not require a carrier similar to a carrier wave,but directly modulates useful information on non-sinusoidal narrow-band pulses,thereby realizing data transmission.Ultra-wideband signal has many advantages such as strong anti-multipath ability,low power spectrum density of transmitted signal and high positioning accuracy.It is precisely because of the extremely low transmit power that the ultra-wideband signal is easily submerged by interference signals and noise,so the detection of ultra-wideband signals is of great significance.Aiming at the problem that ultra-wideband signals are not easy to be detected,an ultra-wideband signal detection method based on improved stochastic resonance is proposed.This method uses the noise energy transfer mechanism to extract and identify the weak signal submerged in strong noise,and achieve effective detection without destroying the signal to be measured.The main work of the thesis includes:this article first introduces the basic pulse and basic modulation methods of ultra-wideband signals,and analyzes t he effects of different parameters on the signal bandwidth.Using the bistable stochastic resonance model,under different noise environments and different noise intensity conditions,simulation experiments are carried out on ultra-wideband signals with different modulation methods.The results show that the bistable model has a certain detection ability for ultra-wideband signals,and the system parameters have a great influence on the detection results.Secondly,combined with the particle swarm optimization algorithm,the normalized cross-correlation coefficient is used as the evaluation index to study the method of adaptive synchronization optimization of system parameters in parameter-induced stochastic resonance.Through the use of monostable model and new potential well model in Gaussian noise environment,the effective detection of ultra-wideband signal pairs is realized,and the results of the bistable model are compared,and the system parameters and detection results of different models are analyzed.Finally,two sets of actual signals with different bandwidths are used as the specific research objects,and they are detected separately based on the improved stochastic resonance model,and compared with the detection results of the classic bistable model,the adaptive monostable model,and the wavelet denoising method.The research results show that the improved stochastic resonance model has a better detection effect on ultra-wideband signals.The research results show that the improved stochastic resonance model has a better detection effect on ultra-wideband signals.The combined model of wavelet transform and stochastic resonance is a new attempt to the inter-symbol interference problem of ultra-wideband signals,which expands new ideas for the application of stochastic resonance in the field of practical engineering.