Design of Master Controller Input Processing Method Based on LPC2292

2012 ◽  
Vol 182-183 ◽  
pp. 611-613
Author(s):  
Hui Yan ◽  
Lin Yu
Keyword(s):  
Operating System ◽  
Signal Processing ◽  
Input Signal ◽  
High Speed ◽  
External Environment ◽  
Processing Method ◽  
Input Processing ◽  
Processing Data ◽  
Master Controller ◽  
System Task

Because of external environment or man-made factors influence, the input signal and data of master elevator controller can not be judged and computed basis directly, but needs the corresponding processing .Therefore an operating system task should be assigned for input signal processing data, in order to deal with input signal. In this paper it realized switch quantity software filter and processing, analog quantities and high-speed counting input treatment of elevator master controller based on LPC2292 .

Discrete Electronic Warfare Signal Processing using Compressed Sensing Based on Random Modulator Pre-Integrator

2015 ◽  
Vol 65 (6) ◽  
pp. 472 ◽  
Author(s):  
M. Sreenivasa Rao ◽  
Chandan C. Mishra ◽  
K. Krishna Naik ◽  
K. Maheshwara Reddy
Keyword(s):  
Signal Processing ◽  
Input Signal ◽  
High Speed ◽  
Traditional Approach ◽  
Ultra Wideband ◽  
Radar Signal ◽  
Electromagnetic Spectrum ◽  
Electronic Warfare ◽  
High Speed Adc ◽  
Detection Of Signals

Electronic warfare receiver works in the wide electromagnetic spectrum in dense radar signal environment. Current trends in radar systems are ultra wideband and low probability of intercept radar technology. Detection of signals from various radar stations is a concern. Performance and probability of intercept are mainly dependent on high speed ADC technology. The sampling and reconstruction functions have to be optimized to capture incoming signals at the receiver to extract characteristics of the radar signal. The compressive sampling of the input signal with orthonormal base vectors, projecting the basis in the union of subspaces and recovery through convex optimisation techniques is the current traditional approach. Modern trends in signal processing suggest the random modulator pre-integrator (RMPI), which sample the input signal at information rate non-adaptively and recovery by the processing of discrete and finite vectors. Analysis of RMPI theory, application to EW receiver, simulation and recovery of EW receiver signals are discussed.

scholarly journals Wideband Anti-Jamming Based on Free Space Optical Communication and Photonic Signal Processing

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1136
Author(s):  
Ben Wu ◽  
Yang Qi ◽  
Chenxi Qiu ◽  
Ying Tang
Keyword(s):  
Signal Processing ◽  
Optical Communication ◽  
Free Space ◽  
High Speed ◽  
Transportation Systems ◽  
Processing Method ◽  
Free Space Optical Communication ◽  
Free Space Optical ◽  
Signal Processing Method ◽  
Space Optical Communication

We propose and demonstrate an anti-jamming system to defend against wideband jamming attack. Free space optical communication is deployed to provide a reference for jamming cancellation. The mixed signal is processed and separated with photonic signal processing method to achieve large bandwidth. As an analog signal processing method, the cancellation system introduces zero latency. The radio frequency signals are modulated on optical carriers to achieve wideband and unanimous frequency response. With wideband and zero latency, the system meets the key requirements of high speed and real-time communications in transportation systems.

An Intelligent Signal Processing Method for High-Speed Weighing System

2013 ◽  
Vol 9 (2) ◽  
pp. 179-186
Author(s):  
Hui-Mei He ◽  
Pingjie Huang ◽  
Dibo Hou ◽  
Wen Cai ◽  
Zhe Liu ◽  
...  
Keyword(s):  
Signal Processing ◽  
High Speed ◽  
Environmental Changes ◽  
Structural Characteristics ◽  
Processing Method ◽  
Ar Model ◽  
Experimental Conditions ◽  
Method Performance ◽  
Signal Processing Method ◽  
Sorting System

AbstractThe dynamic weighing signal processing method in high-speed fruits sorting system directly affects the weighing accuracy. This paper describes a basic modeling method for time series, including modeling, order determining, applicability analysis, and prediction. Considering the structural characteristics of weighing system and the limit of PLC sampling speed, a modified auto-regressive (AR) model for stable value prediction of the high-speed weighing signals is presented. Meanwhile, a simulation base on Matlab platform and an implementation example are used to test the method performance. At last, the impacts of environmental changes, sorting speeds, fruits shapes, and sizes on the method performance are discussed. In experimental conditions, this method can be applied to fruits sorting system with sorting speed up to 18 per second for standard fruit (smooth round surface without defects) and an acceptable weighing accuracy can be obtained.

An Intelligent Signal Processing Method for High Speed Weighing System

2012 ◽  
Vol 8 (4) ◽  
Author(s):  
Huimei He ◽  
Pingjie Huang ◽  
Dibo Hou ◽  
Wen Cai ◽  
Zhe Liu ◽  
...  
Keyword(s):  
Signal Processing ◽  
High Speed ◽  
Environmental Changes ◽  
Structural Characteristics ◽  
Processing Method ◽  
Ar Model ◽  
Experimental Conditions ◽  
Method Performance ◽  
Signal Processing Method ◽  
Sorting System

Abstract The dynamic weighing signal processing method in high speed fruits sorting system directly affects the weighing accuracy. This paper describes a basic modeling method for time series, including modeling, order determining, applicability analysis, and prediction. Considering the structural characteristics of weighing system and the limit of PLC sampling speed, a modified autoregressive (AR) model for stable value prediction of the high speed weighing signals is presented. Meanwhile, a simulation base on Matlab platform and an implementation example are used to test the method performance. At last, the impacts of environmental changes, sorting speeds, fruits shapes and sizes on the method performance are discussed. In experimental conditions, this method can be applied to fruits sorting system with sorting speed up to 18 per second for standard fruit (smooth round surface without defects) and an acceptable weighing accuracy can be obtained.

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