scholarly journals Implementation of digital and analog modulation systems using FPGA

Author(s):  
Raya Kahtan Mohammed ◽  
Hamsa Abdulkareem Abdullah

<p><span>FPGA (Field Programmable Gate Array) based implementations of digital and analog modulation techniques play a vital rule in the design of signal processing system. The performance and flexibility provided by reconfigurable computing speeds up the development process in signal processing implementations using FPGA. Different methods for digital and analog modulation are designed in this paper by usinSg System Generator tools &amp; Vivado. Then all designed systems are implemented successfully in an FPGA hardware via the NEXYS 4 DDR with ARTIX 7 XC7A100T. A comparison between five types of digital modulation techniques is discussed in terms of resources utilization in FPGA hardware. And also, the implementation of analog modulations in FPGA is contributed in this work. The hardware implementation shows that the number of slice LUTs in ASK modulation is 0.07% while in FSK modulation is 0.13% of the total number of slice LUTs. And also, the number of bounded IO that used for PSK modulation is 4.8% while in PM modulation is 61.4% of the total number bounded IO.</span></p>

Author(s):  
M. S. Sudha ◽  
T. C. Thanuja

The hardware implementation of the image watermarking algorithm offers numerous distinct advantages over the software implementation in terms of low power consumption, less area usage and reliability. The advantages of Dual Tree Complex Wavelet Transform (DTCWT) and Principle Component Analysis (PCA) techniques are extracted to improve the robustness and perceptibility. The hardware watermarking solution is more economical, because adding the component only takes up a small dedicated area of silicon. The algorithm is developed and simulated using Matlab, Simulink and system generator. The implementation is carried out using Spartan 6 Diligent Atlys Field Programmable Gate array (FPGA). The architecture uses 256 slice registers, 257 slice Look Up Tables (LUT’s) and 47 I/O pins. It also meets the requirement of high speed architecture with a delay of 1.328ns and an operating frequency of 549.451MHz.


2017 ◽  
Vol 63 (2) ◽  
pp. 137-143
Author(s):  
Seetaiah Kilaru

Abstract Many software based OFDM techniques were proposed from last half decade to improve the performance of the system. This paper tried to implement the same with Hardware implementation. We created Hardware based MISO platform with OFDM. We implemented Alamouti algorithm on this test bed. The test bed is implemented with the help of Field Programmable Gate Array (FPGA). The test bed is functionalized with the help of FPGA through Xilinx based system generator for DSP. In this paper we considered the 2×1 MISO implementation with Alamouti algorithm. The simulation results showed that BER and SNR are considerably high for MISO than SISO. The results also proved that proposed OFDM based Alamouti implementation for MISO is excellent in all performance criterions.


2012 ◽  
Vol 182-183 ◽  
pp. 491-495
Author(s):  
Shi Wei Liu ◽  
Shi Bin Liu

Addressing drawbacks of analog components and questions of multi-channel fluxgate signal operation, a FPGA (Field Programmable Gate Array) based signal processing system is designed. Three copies of sub modules compose the whole system, each of which exclusively processes one of three outputs of the fluxgate sensor. A “Phase-Sensitive-Rectification & Low-Pass-Filtering” circuit structure is employed in the processing module, through which the fluxgate signal harmonics are extracted and converted into direct quantities according to detected magnetic intensities. Firstly designed in HDL (Hardware Description Language), afterward configurated in a FPGA chip, finally tested by processing outputs of a fluxgate sensor probe in real-time, the functionality of the designed system is verified. With inherent advantages, this FPGA based design is much reliable over temperature; by processing signals not time-sharingly but synchronously, its working speed is excellently high.


2020 ◽  
Vol 91 (10) ◽  
pp. 104707
Author(s):  
Yinyu Liu ◽  
Hao Xiong ◽  
Chunhui Dong ◽  
Chaoyang Zhao ◽  
Quanfeng Zhou ◽  
...  

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