Design And Optimization Of Airborne Digital Spectrum Analyzer

With the rapid development of communication technology and computertechnology, spectrum analysis technology has become the mainstream of modernsignal analysis methods. Spectrum analysis for all types of electronic products fromresearch and development to production to test all aspects of providing the necessarydata, both in the scientific exploration or production and life have been very widelyused. The popularity of the network, increasingly complex network environment, avariety of network signal intertwined phenomena mutual interference betweenspectrum has become more apparent. Therefore, engineers need to develop a testingneeds for a variety of environmental and spectrum analyzer in order to make thedetection and analysis of signals. Today, the rapid development of technology,spectrum analysis, engineers door on the spectrum analyzer resolution bandwidth andtimeliness are made more demands.Spectrum analysis now has become the focus ofthe field of computer and communication engineering in the field of research.This thesis begins with some of the more common current spectrum analyzerimplementations contrast, analysis of the disadvantages of different implementations,according to actual needs, and ultimately chose the superheterodyne with acombination of non-superheterodyne design. After the turn of the implementationand design of multi-rate digital signal processing orthogonal transformation to analyzethese important and difficult research, found a more correct approach. Design ideasand implementation on FPGA and digital down conversion module and discreteFourier transform function modules were discussed in detail.Digital signal processing is essentially a set of numerical computation process,which represents a finite number of precision necessarily limited, the design mayappear not guarantee its accuracy and produce erroneous results. Truncation roundingGaussian signal processing significantly reduces noise ratio. This chapter presentsFWL Gaussian signal optimization method for optimizing a Gaussian distribution,thus improving the ability to analyze the feasibility of the system applicable to theGaussian distribution of the signal and a variety of methods to fully validate themethod has certain methodological significance.