scholarly journals Simulation of SAR signal processing system in telescopic mapping

2021 ◽  
pp. 23-29
Author(s):  
K. B. Gurnov ◽  
E. M. Izotova
Keyword(s):  
Processing System ◽  
Time Frame ◽  
Antenna System ◽  
Antenna Aperture ◽  
Signal Processing System ◽  
Radar Images ◽  
Stage Of Development ◽  
High Resolution Radar ◽  
Sar Model ◽  
The Cost

At the present stage of development of surveillance tools, the most popular are radar tools. A special place among such systems is occupied by radars with a synthesized antenna aperture, which make it possible to obtain high-resolution radar images with a relatively small size of the antenna system. The creation of such radar facilities has a number of features, which increases the cost of the development process and increases the time frame, and verification of work can be complicated by the inability to form the required conditions. To eliminate such difficulties, it is advisable to create adequate mathematical models of systems that would allow you to conduct all the necessary tests and work out algorithms, with minimal time spent. In this paper, a phenomenological model of the reflected signal in SAR is proposed, and a SAR model is developed that has a block structure and can be supplemented with modules to identify new dependencies.

Microprocessor-Controlled Data Acquisition System for Pulsed Laser Spectroscopy

1978 ◽  
Vol 32 (5) ◽  
pp. 493-496 ◽  
Author(s):  
G. Patrick Ritz ◽  
David J. Wallan ◽  
Michael D. Morris
Keyword(s):  
Reference Signal ◽  
Pulsed Laser ◽  
Processing System ◽  
Data Acquisition System ◽  
Signal Processing System ◽  
Duty Cycles ◽  
Laser Systems ◽  
Analog Systems ◽  
The Cost ◽  
Better Than

Pulsed laser systems produce spectroscopic signals with large shot-to-shot variations, short durations, and low duty cycles. The most satisfactory signal processing system is gated integration, with pulse averaging and ratioing to a reference signal. We describe a system based on commercially available modular integrators and a hobbyist microcomputer which performs the averaging and ratioing digitally. System performance is equal to or better than that of fully analog systems, while the cost is low and construction is straightforward.

Application of C Sharp and MATLAB Mixed Programming Based on .Net Assembly in Blind Source Separation

2014 ◽  
Vol 599-601 ◽  
pp. 1407-1410
Author(s):  
Xu Liang ◽  
Ke Ming Wang ◽  
Gui Yu Xin
Keyword(s):  
Numerical Calculation ◽  
Programming Languages ◽  
Blind Source Separation ◽  
Source Separation ◽  
Processing System ◽  
Signal Processing System ◽  
Blind Signal Processing ◽  
Blind Signal ◽  
Mixed Programming ◽  
High Level

Comparing with other High-level programming languages, C Sharp (C#) is more efficient in software development. While MATLAB language provides a series of powerful functions of numerical calculation that facilitate adoption of algorithms, which are widely applied in blind source separation (BSS). Combining the advantages of the two languages, this paper presents an implementation of mixed programming and the development of a simplified blind signal processing system. Application results show the system developed by mixed programming is successful.

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