scholarly journals A review: algorithm used for beam forming systems

2017 ◽  
Vol 7 (1.2) ◽  
pp. 58
Author(s):  
Soma Pal ◽  
Azazul Haque
Keyword(s):  
Signal Processing ◽  
High Performance ◽  
Smart Antenna ◽  
Digital Signal ◽  
Beam Forming ◽  
Phased Array Antenna ◽  
Analog To Digital ◽  
Analog To Digital Conversion ◽  
Weight Calculation ◽  
Processing Techniques

Wireless communication uses a smart antenna to provide better coverage and capacity for the communication system. Main functions performed by the smart antenna are Direction of Arrival estimation (DOA) and beamforming (DBF). The beam forming is signal processing techniques which combine antenna array technology with high-performance up/down-conversion, analog to digital conversion and digital signal processing to provide receivers with very high spatial selectivity. This paper evaluates non-blind algorithm such as LMS, to compute the weight calculation for phased array antenna using Matlab Simulink.

scholarly journals Analog to Digital Converters (ADC): A Literature Review

2020 ◽  
Vol 184 ◽  
pp. 01025
Author(s):  
Hemlata Dalmia ◽  
Sanjeet K. Sinha
Keyword(s):  
Signal Processing ◽  
Low Power ◽  
Communication Technology ◽  
High Performance ◽  
Reducing Power ◽  
Digital Signal ◽  
Analog To Digital Converters ◽  
Analog To Digital ◽  
Cmos Scaling ◽  
Analog To Digital Conversion

The signal processing is advancing day by day as its needs and in wireline/wireless communication technology from 2G to 4G cellular communication technology with CMOS scaling process. In this context the high-performance ADCs, analog to digital converters have snatched the attention in the field of digital signal processing. The primary emphasis is on low power approaches to circuits, algorithms and architectures that apply to wireless systems. Different techniques are used for reducing power consumption by using low power supply, reduced threshold voltage, scaling of transistors, etc. In this paper, we have discussed the different types and different techniques used for analog to digital conversion of signals considering several parameters.

scholarly journals DSPSR: Digital Signal Processing Software for Pulsar Astronomy

2011 ◽  
Vol 28 (1) ◽  
pp. 1-14 ◽  
Author(s):  
W. van Straten ◽  
M. Bailes
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Graphics Processing Units ◽  
High Performance ◽  
Digital Signal ◽  
General Purpose ◽  
Design Decisions ◽  
Extensive Range ◽  
Processing Software ◽  
Graphics Processing

Abstractdspsr is a high-performance, open-source, object-oriented, digital signal processing software library and application suite for use in radio pulsar astronomy. Written primarily in C++, the library implements an extensive range of modular algorithms that can optionally exploit both multiple-core processors and general-purpose graphics processing units. After over a decade of research and development, dspsr is now stable and in widespread use in the community. This paper presents a detailed description of its functionality, justification of major design decisions, analysis of phase-coherent dispersion removal algorithms, and demonstration of performance on some contemporary microprocessor architectures.

A High-Performance Signal Processing System for Monopulse Tracking Radar

2011 ◽  
Vol 383-390 ◽  
pp. 471-475
Author(s):  
Yong Bin Hong ◽  
Cheng Fa Xu ◽  
Mei Guo Gao ◽  
Li Zhi Zhao
Keyword(s):  
Signal Processing ◽  
High Performance ◽  
Dynamic Range ◽  
Signal To Noise Ratio ◽  
Processing System ◽  
Digital Signal ◽  
Radar Signal ◽  
Signal Processing System ◽  
Parallel Pipelined ◽  
Tracking Radar

A radar signal processing system characterizing high instantaneous dynamic range and low system latency is designed based on a specifically developed signal processing platform. Instantaneous dynamic range loss is a critical problem when digital signal processing is performed on fixed-point FPGAs. In this paper, the problem is well resolved by increasing the wordlength according to signal-to-noise ratio (SNR) gain of the algorithms through the data path. The distinctive software structure featuring parallel pipelined processing and “data flow drive” reduces the system latency to one coherent processing interval (CPI), which significantly improves the maximum tracking angular velocity of the monopulse tracking radar. Additionally, some important electronic counter-countermeasures (ECCM) are incorporated into this signal processing system.

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