scholarly journals Comparative Performance Assessment of V-Blast Encoded 8×8 MIMO MC-CDMA Wireless System

2021 ◽  
Vol 11 (2) ◽  
pp. 1-7
Author(s):  
Md. Firoz Ahmed ◽  
Md. Sofiqul Islam ◽  
Abu Zafor Md. Touhidul Islam
Keyword(s):  
Signal Detection ◽  
Image Transmission ◽  
Grayscale Image ◽  
Wireless System ◽  
Digital Modulation ◽  
Comparative Performance ◽  
Detection Scheme ◽  
Cyclic Redundancy Check ◽  
Encoding Strategies ◽  
Hadamard Code

The bit error rate performance of a V-Blast encoded 8x8 MIMO MC-CDMA wireless communication system for different signal detection (MMSE and ZF) and digital modulation (BPSK, QPSK, DPSK, and 4QAM) schemes for grayscale image transmission has been investigated in this paper. The proposed wireless system employ ½-rated Convolution and cyclic redundancy check (CRC) channel encoding over the AWGN channel and Walsh Hadamard code as an orthogonal spread code. The present Matlab based simulation study demonstrates that the V-Blast encoded 8×8 MIMO MC-CDMA wireless system with the employment of 1⁄2- rated convolution and cyclic redundancy check (CRC) channel encoding strategies shows good performance utilizing BPSK digital modulation and ZF signal detection scheme in grayscale image transmission.

scholarly journals Performance of Convolution and CRC Channel Encoded V-Blast 4x4 MIMO MC-CDMA Wireless Communication System

2021 ◽  
Vol 9 (2) ◽  
pp. 1-6
Author(s):  
Md. Firoz Ahmed ◽  
Md. Tahidul Islam ◽  
Abu Zafor Md. Touhidul Islam
Keyword(s):  
Wireless Communication ◽  
Communication System ◽  
Signal To Noise Ratio ◽  
Minimum Mean Square Error ◽  
Signal Transmission ◽  
Audio Signal ◽  
Wireless System ◽  
Digital Modulation ◽  
Wireless Communication System ◽  
Encoding Strategies

Wireless communications are among the rapidly growing fields in our current life and have a massive effect on every aspect of our everyday life. In this paper, the performance of the various digital modulation techniques (BPSK, DPSK, QPSK, and QAM) based wireless communication system on the audio signal transmission through the additive Gaussian Noise (AWGN) channel is assessed on the basis of bit error rate (BER) as a function of the signal-to-noise ratio (SNR). Based on the results of this study, BPSK modulation outperforms the DPSK, QPSK, and QAM modulation strategies in the MIMO MC-CDMA VBlast based wireless communication system. The digital modulation of QPSK shows the worst performance in audio signal transmission especially in comparison to other digital modulations. It is clear from the current simulation study based on MATLAB that the V-Blast encoded 4×4 MIMO MC-CDMA wireless system with minimum mean square error (MMSE) signal detection and 1⁄2-rated convolution and cyclic redundancy check (CRC) channel encoding strategies show good performance utilizing BPSK digital modulation in audio signal transmission.

scholarly journals GPS Signal Detection under Multiplicative and Additive Noise

2012 ◽  
Vol 66 (4) ◽  
pp. 479-500 ◽  
Author(s):  
P. Huang ◽  
Y. Pi ◽  
I. Progri
Keyword(s):  
Signal Detection ◽  
Urban Areas ◽  
Multiplicative Noise ◽  
Additive Noise ◽  
Power Level ◽  
Signal Propagation ◽  
Signal Acquisition ◽  
Detection Scheme ◽  
Additive And Multiplicative Noise ◽  
Gps Signal Acquisition

In some Global Positioning System (GPS) signal propagation environments, especially in the ionosphere and urban areas with heavy multipath, GPS signal encounters not only additive noise but also multiplicative noise. In this paper we compare and contrast the conventional GPS signal acquisition method which focuses on handling GPS signal acquisition with additive noise, with the enhanced GPS signal processing under multiplicative noise by proposing an extension of the GPS detection mechanism, to include the GPS detection model that explains detection of the GPS signal under additive and multiplicative noise. For this purpose, a novel GPS signal detection scheme based on high order cyclostationarity is proposed. The principle is introduced, the GPS signal detection structure is described, the ambiguity of initial PseudoRandom Noise (PRN) code phase and Doppler shift of GPS signal is analysed. From the simulation results, the received GPS signal at low power level, which is degraded by additive and multiplicative noise, can be detected under the condition that the received block of GPS data length is at least 1·6 ms and sampling frequency is at least 5 MHz.

scholarly journals Signal Detection Scheme in Ambient Backscatter System With Multiple Antennas

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 14543-14547 ◽  
Author(s):  
Chang-Hee Kang ◽  
Won-Seok Lee ◽  
Young-Hwan You ◽  
Hyoung-Kyu Song
Keyword(s):  
Signal Detection ◽  
Multiple Antennas ◽  
Detection Scheme ◽  
Ambient Backscatter

SIGNAL DETECTION ENHANCED BY COMODULATED NOISE

2006 ◽  
Vol 06 (04) ◽  
pp. L339-L347 ◽  
Author(s):  
MICHAEL BUSCHERMÖHLE ◽  
ULRIKE FEUDEL ◽  
GEORG M. KLUMP ◽  
MARK A. BEE ◽  
JAN A. FREUND
Keyword(s):  
Signal Detection ◽  
Auditory System ◽  
Background Noise ◽  
Frequency Resolution ◽  
General Phenomenon ◽  
Detection Scheme ◽  
Hearing Research ◽  
Limited Frequency ◽  
Detection Of Signals ◽  
Comodulated Noise

Signal detection in fluctuating background noise is a common problem in diverse fields of research and technology. It has been shown in hearing research that the detection of signals in noise that is correlated in amplitude across the frequency spectrum (comodulated) can be improved compared to uncorrelated background noise. We show that the mechanism leading to this effect is a general phenomenon which may be utilized in other areas where signal detection in comodulated noise needs to be done with a limited frequency resolution. Our model is based on neurophysiological experiments. The proposed signal detection scheme evaluates a fluctuating envelope, the statistics of which depend on the correlation structure across the spectrum of the noise. In our model, signal detection does not require a sophisticated neuronal network but can be accomplished through the encoding of the compressed stimulus envelope in the firing rate of neurons in the auditory system.

scholarly journals A Novel Signal Detection Scheme Based on Adaptive Ensemble Deep Learning Algorithm in SC-FDE Systems

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 123514-123523 ◽  
Author(s):  
Yuanjian Qiao ◽  
Jun Li ◽  
Bo He ◽  
Wenxin Li ◽  
Tongliang Xin
Keyword(s):  
Deep Learning ◽  
Signal Detection ◽  
Learning Algorithm ◽  
Detection Scheme ◽  
Deep Learning Algorithm

scholarly journals Iterative Signal Detection Scheme Using Multilayer Perceptron for a Bit-Patterned Media Recording System

2020 ◽  
Vol 10 (24) ◽  
pp. 8819
Author(s):  
Seongkwon Jeong ◽  
Jaejin Lee
Keyword(s):  
Signal Detection ◽  
Data Storage ◽  
Multilayer Perceptron ◽  
A Priori ◽  
Magnetic Data ◽  
Bit Patterned Media ◽  
Detection Scheme ◽  
Patterned Media ◽  
Storage Density ◽  
Priori Information

Because of the physical and engineering problems of conventional magnetic data storage systems, bit-patterned media recording (BPMR) is expected to be a promising technology for extending the storage density to beyond 1 Tb /in2. To increase the storage density in BPMR systems, the separation between islands in both down- and cross-track directions must be reduced; this reduction results in two-dimensional interference from neighboring symbols in those directions, which is a major performance degradation factor in BPMR. Herein, we propose an iterative signal detection scheme between a Viterbi detector and a multilayer perceptron to improve the performance of a BPMR system. In the proposed signal detection scheme, we use the modified output of a multilayer perceptron as a priori information to improve equalization and extrinsic information to decrease the effect of intertrack interference.

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