Related Experiment Video
Updated: Feb 13, 2026
11:41
Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
Published on: February 1, 2020
21.0K
Algorithms for Designing Unimodular Sequences with High Doppler Tolerance for Simultaneous Fully Polarimetric Radar
Fulai Wang1, Chen Pang2, Yongzhen Li3
1College of Electronic Science, National University of Defense Technology (NUDT), Changsha 410073, China. wflmadman@outlook.com.
Sensors (Basel, Switzerland)
|March 23, 2018
Summary
New cyclic algorithms, Cyclic Algorithm-Gradient I (CAGI) and Cyclic Algorithm-Gradient II (CAGII), enhance polarimetric radar by designing sequences with superior correlation properties and Doppler tolerance for moving target measurement.
Area of Science:
- Radar Systems Engineering
- Signal Processing
- Electromagnetics
Background:
- Simultaneous fully polarimetric radar requires signals with excellent auto- and cross-correlation characteristics.
- Optimizing these correlation properties is crucial for accurate target detection and measurement.
Purpose of the Study:
- To investigate the design of signal sequences with improved correlation properties and Doppler tolerance for polarimetric radar.
- To introduce novel algorithms for optimizing these sequences.
Main Methods:
- Development of two new cyclic algorithms: Cyclic Algorithm-Gradient I (CAGI) and Cyclic Algorithm-Gradient II (CAGII).
- Design of sequences exhibiting ultra-low auto- and cross-correlation side-lobes within a specified lag interval.
Main Results:
- The proposed CAGI and CAGII algorithms effectively solve the sequence design optimization problem.
- Designed sequences demonstrate significantly reduced side-lobes, enhancing signal clarity.
Conclusions:
- The novel cyclic algorithms provide a superior method for designing sequences for polarimetric radar.
- These sequences are particularly effective for the precise measurement of moving targets.
Related Concept Videos
00:56Doppler Effect - I
6.5K
The Doppler effect and Doppler shift were named after the Austrian physicist and mathematician Christian Johann Doppler in 1842, who conducted experiments with both moving sources and moving observers. Consider an observer standing on a street corner, observing an ambulance with a siren sound passing by at a constant speed. The observer experiences two characteristic changes in the sound of the siren. Initially, the sound increases in loudness as the ambulance approaches and decreases in...
6.5K
01:05Doppler Effect - II
4.8K
The Doppler effect has several practical, real-world applications. For instance, meteorologists use Doppler radars to interpret weather events based on the Doppler effect. Typically, a transmitter emits radio waves at a specific frequency toward the sky from a weather station. The radio waves bounce off the clouds and precipitation and travel back to the weather station. The radio frequency of the waves reflected back to the station appears to decrease if the clouds or precipitation are moving...
4.8K
01:12Trial and Error and Algorithm
429
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
429
02:01Group Design
10.7K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
10.7K
02:01Factorial Design
14.1K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
14.1K
02:02Cis-regulatory Sequences
11.9K
Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
11.9K