Research On The Analog To Information Technology Based On Compressive Sampling

With the development of electronic information, the military increasingly dependent on the use of radio communications for command and deployment of forces.Modern warfare has evolved into competing for electronic resources.the opposing sides as been fightinging vehemently in signal interception and anti-interception,a variety of communication continue to emerge, followed by the means of interception and anti-interception has been increasing.To this end, if possible, as a communication party use a signal system which low probability for intercept, such as high-speed wideband frequency hopping, burst, jump way, etc.Limited by the Nyquist theory, if under the premise of meeting the performance requirements, The processing of frequency-hopping signal which is UWB and high-speed will face high sampling rates, faster processing speed and other issues challenges.Sparse representation and compressive sensing theory show that sparse signals can be reconstructed by measuring a set of linear measurements. In obtaining measurements, the sampling rate is lower than the Nyquist sampling rate.Therefore, wideband radio signal detection methods which based on compressive sensing sampling will have important application value and practical significance.In this paper we first discusse sparse representation and compressive sensing theory. Compressive sensing theory in discrete occasions was changed opportunely,and we constructed the AIC device which be used in analog occasions, the device can replace the traditional ADC devices to relieve the pressure of the front high-speed ADC and mass storage device when the UWB signal is processed. If the the data is sampling by AIC device, it is no longer a general time-domain data, we call it the information-domain data, and information-domain data processing is a difficult problem in compressive sensing theory. To this end, discussion of the information-domain processing methods will be the main content in this article,and we proposed several new method about information data processing method for special signal system (ultra-wideband, high-speed frequency hopping).Entire article is divided into two key parts.PartⅠ:AIC. Based on compressive sampling technology, the article highlight three AIC implementation structure:direct type, segment integral and pre-modulation. At same time we proved the feasibility of three implementation structure by simulation and detailed comparison of the performance and features of the three, View of the pre-modulation AIC simple structure,we made the hardware circuit design and discussed several elements of affecting AIC's signal to noise ratio,which Combinated of hardware. PartⅡ:information-domain data processing methods.First of all, based on the existing sparse decomposition algorithm, we discussed several reconstruction algorithms for information-domain data in detail, analysised the performance of this two algorithms.Secondly, Combined with the original sparse decomposition algorithm,,we proposed two new method about solving the suppression given frequency interference and signal parameter estimation,which can be use for processing frequency-hopping and high speed signals of UWB by way of the extraction of information data and redundant dictionary of the ingenious structure...