Slope and curvature detection algorithm with high noise immunity in four-hole amplitude-modulated wavefront sensor

2021 ◽  
Author(s):  
Peng Qin ◽  
Hui Zhong ◽  
Yanqiu Li ◽  
Ke Liu
Keyword(s):  
Noise Immunity ◽  
Detection Algorithm ◽  
Wavefront Sensor ◽  
High Noise ◽  
Curvature Detection

METHODS OF JAMMING INTERFERENCE

2018 ◽  
pp. 80-84
Author(s):  
A. V. Mazin ◽  
M. Yu. Aliyev
Keyword(s):  
Noise Immunity ◽  
Time Constraints ◽  
Joint Operation ◽  
Directional Diagram ◽  
Main Method ◽  
High Noise ◽  
Time Processing ◽  
Radar Systems ◽  
Interference Signals ◽  
Selection Of

The article investigates the problem of providing high noise immunity radar under the influence of passive and intentional interference. The purpose of radio operation of the radar is to create conditions that would impede the operation of systems and minimize its effectiveness. The main method of radio transmission is still creating (staging) interference. Modern radar systems must solve the tasks in terms of electronic suppression using, including intentional interference and under severe time constraints. It is shown that the most effective way to improve the noise immunity of radar systems designed to operate in multipoint space, including non-stationary, interference is adaptive space-time processing of the received signals, based on the angular selection of targets, due to the formation of zeros in the directional diagram in the direction of interference sources. This problem is solved by determining the accuracy of the direction finding of interference sources and is achieved by the joint operation of the antenna array and multi-channel signal processing devices, namely the separation of interference signals on different receiving channels.

Degree of polarization uniformity with high noise immunity using polarization-sensitive optical coherence tomography

2014 ◽  
Vol 39 (24) ◽  
pp. 6783 ◽  
Author(s):  
Shuichi Makita ◽  
Young-Joo Hong ◽  
Masahiro Miura ◽  
Yoshiaki Yasuno
Keyword(s):  
Optical Coherence Tomography ◽  
Noise Immunity ◽  
Degree Of Polarization ◽  
Optical Coherence ◽  
High Noise

A 68-ns 4-Mbit CMOS EPROM with high-noise-immunity design

1990 ◽  
Vol 25 (1) ◽  
pp. 72-78 ◽  
Author(s):  
K. Imamiya ◽  
J. Miyamoto ◽  
S. Atsumi ◽  
N. Ohtsuka ◽  
Y. Muroya ◽  
...  
Keyword(s):  
Noise Immunity ◽  
High Noise

scholarly journals Optimization of Direct Direction Finding Method with Two-Dimensional Correlative Processing of Spatial Signal

2018 ◽  
Vol 8 ◽  
pp. 46-53
Author(s):  
Vitaliy V. Tsyporenko ◽  
Valentyn G. Tsyporenko
Keyword(s):  
Main Parameter ◽  
Noise Immunity ◽  
Signal To Noise Ratio ◽  
Direction Finding ◽  
High Accuracy ◽  
Signal To Noise ◽  
High Noise ◽  
Spatial Shift ◽  
Simulation Results ◽  
Finding Method

In this article, the main parameter of the correlative-interferometric direction finding method with twodimensional correlative processing of spatial signal in the aperture of a linear antenna array (AA) is determined as the value of spatial shift within the AA aperture. The corresponding objective function is also formed. Analytical optimization of this parameter is presented and a comparative analysis of analytical calculations based on simulation results is conducted. In the simulation, a range of dependencies of the middle square deviation of estimation of direction on the value of the spatial shift for a signal-to-noise ratio of 0 dB, for minimum 3-sample and 4-sample Blackman-Harris windows of the spectral analysis, is received. The value of the middle square deviation of estimation of direction will be minimal and will equal 0.02 degrees using a minimum 3-sample Blackman-Harris window with the −67 dB level of side lobes. It offers high noise immunity and high accuracy of direction finding.

A High Noise Immunity Monopulse Direction of Arrival Estimation Antenna for Vehicle Tracking

2021 ◽  
Author(s):  
Yutaka Umeda ◽  
Eisuke Nishiyama ◽  
Ichihiko Toyoda ◽  
Masayuki Miyashita ◽  
Kazuma Tomimoto ◽  
...  
Keyword(s):  
Noise Immunity ◽  
Direction Of Arrival ◽  
Vehicle Tracking ◽  
Direction Of Arrival Estimation ◽  
High Noise

Seismic signal detection by fractal dimension analysis

1999 ◽  
Vol 89 (4) ◽  
pp. 970-977 ◽  
Author(s):  
Patrizia Tosi ◽  
Salvatore Barba ◽  
Valerio De Rubeis ◽  
Francesca Di Luccio
Keyword(s):  
Fractal Dimension ◽  
Random Noise ◽  
Seismic Signal ◽  
Detection Algorithm ◽  
New Method ◽  
Complete Analysis ◽  
Spectral Amplitude ◽  
False Alarms ◽  
Seismic Signals ◽  
High Noise

Abstract We introduce a new detection algorithm with improved local and regional seismic signal recognition. The method is based on the difference between seismic signals and background random noise in terms of fractal dimension D. We compare the new method extensively with standard methods currently in use at the Seismic Network of the Istituto Nazionale di Geofisica. Results from the comparisons show that the new method recognizes seismic phases detected by existing procedures, and in addition, it features a greater sensitivity to smaller signals, without an increase in the number of false alarms. The new method was tested on real continuous data and artificially simulated high-noise conditions and demonstrated a capability to recognize seismic signals in the presence of high noise. The efficiency of the method is due to a radically different approach to the topic, in that the assertion that a signal is fractal implies a relationship between the spectral amplitude of different frequencies. This relationship allows, for the fractal detector, a complete analysis of the entire frequency range under consideration.

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