Autocorrelation constraints in radar waveform optimization for detection

2012 ◽  
pp. 343-375 ◽  
Author(s):  
Lee Patton ◽  
Brian Rigling
Keyword(s):  
Waveform Optimization

Nonlinear Frequency Modulated Waveform Optimization for a Cooperative Radar-Communication System

2021 ◽  
Author(s):  
Ashoka Chakravarthi Mahipathi ◽  
Srinath Gunnery ◽  
Srihari Pathipati ◽  
John D'Souza ◽  
Paramananda Jena
Keyword(s):  
Communication System ◽  
Nonlinear Frequency ◽  
Waveform Optimization

Inhomogeneous waveform optimization to generate high order harmonic spectra

2021 ◽  
Vol 763 ◽  
pp. 138254
Author(s):  
Hang Liu ◽  
Xiaodan Jing ◽  
Liqiang Feng
Keyword(s):  
High Order ◽  
Waveform Optimization ◽  
High Order Harmonic

Waveform optimization of a two-axis smooth impact drive mechanism actuator

2020 ◽  
pp. 1045389X2095126 ◽  
Author(s):  
Jianxiang Wang ◽  
Yuxi Chen ◽  
Yuxin Peng ◽  
Xian Song ◽  
Yangkun Zhang ◽  
...  
Keyword(s):  
Short Term Memory ◽  
Maximum Velocity ◽  
Input Voltage ◽  
Data Driven ◽  
Voltage Waveform ◽  
Drive Mechanism ◽  
Waveform Optimization ◽  
Piezoelectric Elements ◽  
Long Short Term Memory ◽  
Optimum Input

This paper presents a data-driven method for waveform optimization of a two-axis smooth impact drive mechanism (SIDM) actuator. The actuator was constructed by two piezoelectric elements (PZTs) perpendicularly fixed to an L-shaped base for two-axis positioning. An XY stage was designed and constructed by assembling the two-axis SIDM actuator. The XY stage could position long motion ranges of several millimeters with nanometer-level resolution, and the size was confined to be 20 mm (X) × 20 mm (Y) × 4.5 mm (H). The data-driven method based on the long short-term memory (LSTM) neural networks was used to predict the optimum input voltage waveform of the actuator. With the optimized input voltage waveform, it was verified that the maximum velocity of the stage could be improved about two times.

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