Spectrum Analyzer, System and Method for Outputting Data from a Spectrum Analyzer
US-2024003946-A1 · Jan 4, 2024 · US
US9778298B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9778298-B2 |
| Application number | US-201514735228-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 10, 2015 |
| Priority date | Jun 10, 2015 |
| Publication date | Oct 3, 2017 |
| Grant date | Oct 3, 2017 |
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An apparatus for frequency measurement (1ODMTM) which provides precise and accurate measurement of a single input tone frequency and/or multiple separable input tone frequencies. Tone separability can be achieved by proper selection of the parameter N, the sample length of the DFT/FFT.
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What is claimed is: 1. An apparatus for frequency measurement, comprising: a signal conditioner having an input and an output; an analog-to-digital converter having an input and an output; a parser having an input and an output; a Fourier Transformer having an input and an output; a selector having an input and an output; and a processor having a signal input, an output, and a coefficient input, wherein, an external analog signal to be measured is input into said input of said signal conditioner; the output of said signal conditioner is connected to the input of said analog-to-digital converter; the output of said analog-to-digital converter is connected to the input of said parser; the output of said parser is connected to the input of said Fourier Transformer; the output of said Fourier Transformer is connected to the signal input of said processor and to the input of said selector; and wherein the output of said selector is connected to the coefficient input of said processor; wherein said parser parses a digital output of said analog-to-digital converter x[n] into m data segments of length N, wherein the m th said segment is represented as x m [n]; wherein said Fourier Transformer performs an N-point Discrete Fourier Transform on x m [n], resulting in X m [k], wherein k is the k th frequency bin along a discrete frequency independent variable, and X m [k] is the Discrete Fourier Transform of any said data segment; wherein said Fourier Transformer performs a Fast Fourier Transform on x m [n], resulting in X m [k], wherein k is the k th frequency bin along a discrete frequency independent variable, and X m [k] is the Fast Fourier Transform of any said data segment; wherein said selector selects a set of frequency indices for which frequency measurements are to be performed; wherein said selector performs a threshold and detect function; wherein said processor performs a first step of processing a ratio represented by V m [ k ]=( X m [ k ]+ X m [ k −1])/( X m [ k ]− X m [ k −1]) and inputs the result into a second step of processing; and wherein said processor performs a second step of processing represented by C m [ k ]= jV m [ k ]−cot(π/ N ) and inputs the result into a third step of processing. 2. The apparatus of claim 1 , wherein said processor performs a third step of processing represented by D m [ k ]= e (−j2π(k−1)N) ·C m [ k ] and; inputs the result into a fourth step of processing. 3. The apparatus of claim 2 , wherein said processor performs a fourth step of processing represented by f m [ k ]=−arg{e iπ ·e (iπ/N) ·D m [ k ]} and; inputs the result into a fifth step of processing. 4. The apparatus of claim 3 , wherein said processor performs a fifth step of processing represented by ρ m [ k ]=0.5 f m [ k ]+0.5 f m [ k+ 1]; and performs a scaler function. 5. The apparatus of claim 4 , wherein said scaler function further comprises the steps of processing represented by β m [ k ]=−π·sign(ρ m [ k ])+ρ m [ k ] when |f m [k]−f m [k+1]| is greater than π; and processing β m [ k ]=ρ m [ k ] otherwise; and processing an averaged and scaled frequency measurement represented by w m [ k ]=(0.5 N /π)·β m [ k ].
Spectrum analysis; Fourier analysis · CPC title
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