scholarly journals Design of a Power-Efficient Low Complexity Non Maximally Coefficient Symmetry Multi Rate Filter Bank for Wideband Channelization

Author(s):  
Kirti Samir Vaidya ◽  
C. G. Dethe ◽  
S. G. Akojwar

A solution for existing and upcoming wireless communication standards is a software-defined radio (SDR) that extracts the desired radio channel. Channelizer is supposed to be the computationally complex part of SDR. In multi-standard wireless communication, the Software Radio Channelizer is often used to extract individual channels from a wideband input signal. Despite the effective channelizer design that reduces computing complexity, delay and power consumption remain a problem. Thus, to promote the effectiveness of the channelizer, we have provided the Non-Maximally Coefficient Symmetry Multirate Filter Bank. In this paper, to improve the hardware efficiency and functionality of the proposed schemes, we propose a polyphase decomposition and coefficient symmetry incorporated into the Non-Maximally Coefficient Symmetry Multirate Filter Bank. For sharp wideband channelizers, the proposed methods are suitable. Furthermore, polyphase decomposition filter and coefficient symmetry is incorporated into the Non-Maximally Coefficient Symmetry Multirate Filter Bank to improve the hardware efficiency, power efficient, flexibility, reduce hardware size and functionality of the proposed methods. To prove the complexity enhancement of the proposed system, the design to be the communication standard for complexity comparison.

2021 ◽  
Author(s):  
Kirti Samir Vaidya ◽  
Dethe C.G ◽  
S. G. Akojwar

Abstract For extracting the individual channels from input signal of wideband, Software Radio Channelizer was often used on multi-standard wireless communication. Despite the effective channelizer design that decreases the complexity of computational, delay and power consumption is challenging. Thus, to promote the effectiveness of the channelizer, we have provided the Non-Maximally Coefficient Symmetry Multirate Filter Bank. For this, a sharp wideband channelizer is designed to be using the latest class of masking responses with Non-maximally Decimated Polyphase Filter. Moreover, coefficient symmetry is incorporated into the Non-Maximally Coefficient Symmetry Multirate Filter Bank to improve the hardware efficiency and functionality of the proposed schemes. To prove the complexity enhancement of the proposed system, the design is analyzed with communication standard with existing methods.


2021 ◽  
Vol 20 ◽  
pp. 57-65
Author(s):  
Kirti Samir Vaidya ◽  
C. G. Dethe ◽  
S. G. Akojwar

For extracting the individual channels from input signal of wideband, Software Radio Channelizer was often used on multi-standard wireless communication. Despite the effective channelizer design that decreases the complexity of computational, delay and power consumption is challenging. Thus, to promote the effectiveness of the channelizer, we have provided the Non-Maximally Coefficient Symmetry Multirate Filter Bank. For this, a sharp wideband channelizer is designed to be using the latest class of masking responses with Non-maximally Decimated Polyphase Filter. Moreover, coefficient symmetry is incorporated into the Non-Maximally Coefficient Symmetry Multirate Filter Bank to improve the hardware efficiency and functionality of the proposed schemes. To prove the complexity enhancement of the proposed system, the design is analyzed with communication standard with existing methods.


Author(s):  
Hyun Jae Park ◽  
Gyu-min Lee ◽  
Seung-Hun Shin ◽  
Byeong-hee Roh ◽  
Ji Myeong Oh

The increased usage of wireless communication has created a wireless frequency shortage problem. Cognitive Radio (CR) has attracted public attention, as one of the solutions that can resolve this issue. In this paper, the authors built an actual CR system testbed using the SDR (Software Defined Radio) platform, USRP (Universal Software Radio Peripheral) board, the SDR development toolkit, GNU Radio, and Raspberry Pi3, which is a single board computer. They configured Secondary User (SU)s with Raspberry Pi3 for straightforward and portable test environment. The authors' testbed performs spectrum sensing based on energy detection and determines whether the channel is occupied or not. Experimental results not only show performance but also provide their testbed that works well in multi-hop environments.


Software Defined Radio (SDR) offers a extensive radio communication platform that uses software updates to make use of fresh technology. From SDR, the idea of an Orthogonal frequency division multiplexing (OFDM) has evolved to personalize SDRs. The channel dispersiveness causes Inter Symbol Interference (ISI) but OFDM is more resistant at these condition because of this reason it is widely used in wireless communication systems. OFDM is having a good performance in terms of Bit Error Rate (BER) and high spectrum efficiency, so it is considered as a key role for next generation wireless communication system. In this paper, three different types of data are transferred in a real time SDR of OFDM transceiver using GNURadio/Universal Software Radio Peripheral (USRP). OFDM is extremely sensitive for synchronization errors such as time and frequency offsets and to estimate channel condition. Therefore, a standard algorithm is applied to solve synchronization and channel estimation problems in SDR based OFDM system. This testbed is implemented using two USRPs of model N210 as transmitter and receiver with an open source of GNURadio as a software. The implementation of OFDM is evaluated for different types of information like text, audio and Image. This evaluates the BER v/s SNR for real time data transmission in SDR Environment


Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 516
Author(s):  
Tram Thi Bao Nguyen ◽  
Tuy Nguyen Tan ◽  
Hanho Lee

This paper presents a pipelined layered quasi-cyclic low-density parity-check (QC-LDPC) decoder architecture targeting low-complexity, high-throughput, and efficient use of hardware resources compliant with the specifications of 5G new radio (NR) wireless communication standard. First, a combined min-sum (CMS) decoding algorithm, which is a combination of the offset min-sum and the original min-sum algorithm, is proposed. Then, a low-complexity and high-throughput pipelined layered QC-LDPC decoder architecture for enhanced mobile broadband specifications in 5G NR wireless standards based on CMS algorithm with pipeline layered scheduling is presented. Enhanced versions of check node-based processor architectures are proposed to improve the complexity of the LDPC decoders. An efficient minimum-finder for the check node unit architecture that reduces the hardware required for the computation of the first two minima is introduced. Moreover, a low complexity a posteriori information update unit architecture, which only requires one adder array for their operations, is presented. The proposed architecture shows significant improvements in terms of area and throughput compared to other QC-LDPC decoder architectures available in the literature.


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