Method for estimating wide-band harmonic phase and its indeterminacy based on NTN calibration

A phase and harmonic technology, applied in baseband system components, analog/digital conversion calibration/test, phase modulation carrier system, etc., can solve the problem of inability to accurately obtain broadband harmonic phase, and achieve the effect of robust estimation

Inactive Publication Date: 2007-03-28
HARBIN INST OF TECH
View PDF0 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem that the broadband harmonic phase cannot be accurately obtained in the prior art, the presen

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for estimating wide-band harmonic phase and its indeterminacy based on NTN calibration
  • Method for estimating wide-band harmonic phase and its indeterminacy based on NTN calibration
  • Method for estimating wide-band harmonic phase and its indeterminacy based on NTN calibration

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0037] Specific embodiment one: as shown in Figure 1 and Figure 3, based on the accurate and robust estimation method of the wideband harmonic phase of NTN calibration technology, described estimation method is carried out in sequence according to the following steps:

[0038] Step 1. As shown in Figure 1, use a coaxial adapter to connect high-speed sampling oscilloscope A and high-speed sampling oscilloscope B together, and make the two high-speed sampling oscilloscopes work synchronously in the NTN calibration state, that is, give high-speed sampling oscilloscope A a bias Voltage, at this time high-speed sampling oscilloscope A outputs a series of broadband pulses, high-speed sampling oscilloscope B collects the above-mentioned broadband pulses, high-speed sampling oscilloscope A and high-speed sampling oscilloscope B are exactly the same;

[0039] Step 2. When the above-mentioned bias voltages are respectively positive or negative, collect the measurement signals output by t...

specific Embodiment approach 2

[0058] Specific embodiment two: as shown in Figure 1 and 3, the difference between this specific embodiment and specific embodiment one is: step 4 utilizes the specific process of cross-correlation algorithm to carry out successively according to the following steps:

[0059] I. Select the first group of measurement signals as the reference signal;

[0060] II. Calculate the drift between each set of measurement signals and reference signals with a cross-correlation algorithm;

[0061] III. Estimate the drift between any two sets of measured signals;

[0062] IV. Calculate the weighted time base drift;

[0063] V. Estimate the average value of the time base drift of any two groups of measurement signals, as shown in the following formula:

[0064] d ^ kj = 1 2 ( 2 δ ^ ...

specific Embodiment approach 3

[0111] Specific embodiment three: as shown in Figure 1 to Figure 3, the difference between this specific embodiment and specific embodiment one or two is: as shown in Figure 2, use the support vector machine algorithm to process each group of measurement signals respectively The method proceeds as follows:

[0112] A. Divide each group of measurement signals into a training set and a test set;

[0113] B. Setting the parameter set to be selected for the support vector machine;

[0114] C. Select a parameter vector from the candidate parameter set of the support vector machine, and use the training set to train the support vector machine to obtain a model;

[0115] D. Use the support vector machine model to predict the test set and obtain the prediction error;

[0116] E, judging whether to get all the parameters; judging if so, then performing step F: selecting the parameter vector that makes the prediction error the smallest as the parameter of the support vector machine mo...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a digital signal processing method. The method solves the problem of unable to obtain the accurate wideband harmonic phase by using the existed technique. Based on the NTN correct technique, this invention obtains a serious wideband impulses, corrects orderly their time base aberration, uses average signal shift to eliminate co-modulate interference, corrects mismatch aberration, and signal dithering. Then phase-spreading and eliminating linearization against the obtained phase frequency response function obtains the harmonic phase. Finally, the phase uncertainty can be obtained by means of introducing the error spread formulation and assumption verification estimation in the complex frequency area. The wideband phase obtained by this invention can be used in the phase correction in large-signal network analyzer and hi-speed sampling oscilloscope.

Description

technical field [0001] The invention relates to a digital signal processing method, in particular to an accurate and robust estimation method of broadband harmonic phase and its uncertainty based on NTN calibration technology. Background technique [0002] Ultra-Wideband communication technology (Ultra-Wideband, UWB) has been a hot spot in the industry in recent years. It communicates by modulating information onto narrow pulses of nanosecond or picosecond duration. Because the pulse is very narrow, it occupies a frequency bandwidth of several GHz on the spectrum. Compared with classical radar, the pulse signal radiated by Ultra Wideband UWB radar occupies a very wide frequency band relative to the center carrier frequency, and the bandwidth ranges from more than 10% to 90%. Such UWB signals excite natural resonances in target structures, making it difficult for classical stealth techniques to camouflage targets. Developed countries are now studying ultra-wideband (UWB) r...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H04B1/69H04L27/18H04L29/02H03M1/10H04L25/02
Inventor 林茂六张喆徐清华陈春雨
Owner HARBIN INST OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap