Chaychian, Sara

Savory, Lewis

Sharma, Ashok

Simpson, Oluyomi

Sun, Yichuang

English

University of Hertfordshire Research Archive

Power Efficient FFT Implementation for a Real Time Spectrum AnalyserL. Savory (1)(2), A. Sharma (1), O. Simpson(2), S. Chaychain(1)(2), Y. Sun(2)1 Thurlby Thandar Instruments, 2 Glebe Road, Huntingdon PE29 7DR, 2 University of Hertfordshire, College Lane, Hatfield, AL10 9ABlewis.savory@tti.co.ukFeasibility StageResearchPropose SolutionDevelopmentTest and FeedbackPre Project DiscussionCustomer RequirementsInitial SpecificationExperience from Previous ProductsIdentify Problems and High Risk Structures for Feasibility TestingDesign and Prototype StageDesign PrototypeTest PrototypeGain Technical FeedbackFinal Production StageFinal Prototype UnitPilot Small Number of UnitsFeedbackMinor ImprovementsFinal ProductIntroduction• TTi designs and manufactures Electronic Test and Measurement equipment under the Aim-TTi brand for customers with interests in Power Supplies, DVM, Signal Generators and Spectrum Analysers.• This project aims to develop a new Spectrum Analyser based on Fast Fourier Transform (FFT) architectures, adding to their popular range of RF Spectrum Analysers.• A variety of architectures are being explored to aid in the development of the digital signal processing section of the product.Spectral Analysis and Demodulation Concepts• The conversion from Time Domain data into Frequency Domain data is achieved through the computation of the Discrete Fourier Transform which is then plotted on a display with the aid of various filters that can be set up by the user as required. • These filters in FFT based architectures take the form of a Span, Resolution Bandwidth Filters, and FFT Overlap Filter.• Allowing the user to set the Spectrum Analyser to focus on a set frequency bandwidth with a variety of Amplitude accuracy options.• Using FFT architectures also allows the potential for the user to demodulate OFDM signals.• OFDM is currently a scheme used for 4G LTE communications and is planned to be used for 5G Mobile communication LTE too.• It is also useful for Spectrum Analysers to have other demodulation options available, e.g. PSK, FSK, ASK Designing A Low Power AlgorithmClock GatingHardware Specific ImprovementsEfficient Architecture DesignLowering Multiplier CountAlgorithm Specific ImprovementsReducing Task ComplexityPipeliningMaking use of Academic PapersFurther WorkWhilst the FFT may seem like it is a large section of the Spectum Analyserproject, there are other sections with their own complicated architectures to complete!Resampling FiltersTo achieve the users requirements for RBW, the data coming into the digital domain often has to be resampled. This requires dedicated filters, there are many different types of resampling filters, and an analysis of their suitability is underway. Data InspectionCustomers will want to investigate their signals with different diagrams depending on the sort of job they want to do. Many of these diagrams have to be calculated at the maximum processing rate, thus steps must be taken to ensure they are designed with Low Power in mind.FFT WindowingThis is used to make the Fourier Components more accurate and is required if the signal is not periodic with the FFT sample duration -leading to Spectral Leakage.

Power Efficient FFT Implementation for a Real Time Spectrum Analyser

http://uhra.herts.ac.uk/bitstream/2299/21385/1/Poster_Presentation_KTP_Conference_v4.pdf

Power Efficient FFT Implementation for a Real Time Spectrum Analyser

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University of Hertfordshire Research Archive