scholarly journals Mimo System using16 Psk and Bpsk Modulation Schemes

2020 ◽  
Vol 9 (4) ◽  
pp. 895-897
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Mimo System ◽  
Current Technology ◽  
Binary Modulation ◽  
Mimo Ofdm ◽  
Modulation Schemes ◽  
Bpsk Modulation

Current technology will build on signals mutual independent recurrence Technique(Orthogonal frequency divison multiplexing) and we don’t know the quality of it altogether expanded in numerous inputs numerous yields like Multi Input Multi output , Taking a shot at the same objective we use the LDPC based MIMO-OFDM with 16PSK and Binary modulation schemes. The bit error rate is checked so that we identify the which scheme is best.

scholarly journals A Comprehensive Performance Analysis of MIMO-OFDM Technology Using Different MIMO Configurations and M-QAM Modulation Schemes for LTE Cellular Network

2018 ◽  
Vol 12 (4) ◽  
pp. 118 ◽  
Author(s):  
Jobaida Akhtar ◽  
Mohammad Istiaque Reja ◽  
Md. Al Amin ◽  
Md. Sahidur Rahman
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Orthogonal Frequency Division Multiplexing ◽  
Multiple Input Multiple Output ◽  
Frequency Synchronization ◽  
Antenna Diversity ◽  
Qam Modulation ◽  
Mimo Ofdm ◽  
Modulation Schemes ◽  
Ber Performance

MIMO-OFDM (Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing) uses multiple antennas at transmitter and receiver side to facilitate high throughput performance without needing additional bandwidth or transmission power. But frequency synchronization, Inter Carrier Interference (ICI) minimization and antenna diversity are the main challenges for MIMO-OFDM wireless technology. In this paper, a MIMO-OFDM hybrid model is designed with proper frequency synchronization and antenna diversity that minimizes ICI with improved signal strength. Using the model a comprehensive analysis in terms of Bit Error Rate (BER) performance with respect to Signal to Noise Ratio (SNR) and Bit Rate for different M-ary QAM modulation schemes and different MIMO configurations are presented over Rayleigh fading and AWGN channel. After an extensive analysis, it is found that the propose OFDM scheme shows better Bit Error rate (BER) performance for 64-QAM than any other M-ary QAM modulation schemes and the optimum MIMO configuration for this good quality performance is found to be 3×2 configuration.

scholarly journals Accurate and Efficient Evaluation of Bit Error Rate for Dynamic Directional Modulation for Standard Modulation Schemes

Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 776
Author(s):  
Josep Parrón ◽  
Edith Cabrera-Hernandez ◽  
Alan Tennant
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Physical Layer Security ◽  
Evaluation Method ◽  
Physical Layer ◽  
Observation Angle ◽  
Transmitted Power ◽  
Modulation Schemes ◽  
Wireless Transmissions ◽  
Directional Modulation

Directional modulation (DM) has been proposed as a technique to enhance physical layer security of wireless transmissions. In DM, the improvement of security is achieved by increasing the transmitted power in such a way that the bit error rate (BER) is degraded in the observation angles out of the desired secure direction. The performance of DM in terms of BER is typically evaluated by transmitting a stream of symbols for every observation angle, but this approach can be time consuming. In this communication, we propose an approach to evaluate, accurately and efficiently, the BER of dynamic DM (DDM) for standard modulation schemes. Several DDM configurations will be tested to illustrate the benefits and limitations of the evaluation method. The proposed approach is also used to present a non-iterative DDM synthesis with restrictions in the BER response.

scholarly journals Smoothing techniques for decision-directed MIMO OFDM channel estimation

2011 ◽  
Vol 9 ◽  
pp. 139-143
Author(s):  
P. Beinschob ◽  
U. Zölzer
Keyword(s):  
Channel Estimation ◽  
Bit Error Rate ◽  
Error Rate ◽  
Error Propagation ◽  
Orthogonal Frequency Division Multiplexing ◽  
Mimo Systems ◽  
Smoothing Techniques ◽  
Time Frequency ◽  
Channel Estimate ◽  
Mimo Ofdm

Abstract. With the purpose of supplying the demand of faster and more reliable communication, multiple-input multiple-output (MIMO) systems in conjunction with Orthogonal Frequency Division Multiplexing (OFDM) are subject of extensive research. Successful Decoding requires an accurate channel estimate at the receiver, which is gained either by evaluation of reference symbols which requires designated resources in the transmit signal or decision-directed approaches. The latter offers a convenient way to maximize bandwidth efficiency, but it suffers from error propagation due to the dependency between the decoding of the current data symbol and the calculation of the next channel estimate. In our contribution we consider linear smoothing techniques to mitigate error propagation by the introduction of backward dependencies in the decision-based channel estimation. Designed as a post-processing step, frame repeat requests can be lowered by applying this technique if the data is insensitive to latency. The problem of high memory requirements of FIR smoothing in the context of MIMO-OFDM is addressed with an recursive approach that acquires minimal resources with virtual no performance loss. Channel estimate normalized mean square error and bit error rate (BER) performance evaluations are presented. For reference, a median filtering technique is presented that operates on the MIMO time-frequency grids of channel coefficients to reduce the peak-like outliers produced by wrong decisions due to unsuccessful decoding. Performance in terms of Bit Error Rate is compared to the proposed smoothing techniques.

scholarly journals Bit Error Rate (BER) Performance of MIMO Systems in M-QAM with Nonlinear Effect

2019 ◽  
Vol 9 (2) ◽  
pp. 265-267
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Mimo Systems ◽  
Mimo System ◽  
High Amplitude ◽  
Transmitter Diversity ◽  
Receiver Diversity ◽  
Alamouti Scheme ◽  
Amplifier Model ◽  
Modulation Techniques

Out object in this paper it to study, the effect of nonlinearity on the bit error rate (BER) of MIMO systems in M-QAM modulation techniques. We consider Saleh’s model (power amplifier model) for the nonlinearity, and apply the nonlinear model on MIMO system with receiver diversity and transmitter diversity. For transmitter diversity, the Space-Time Block Coding (STBC) based on Alamouti scheme is used to provide transmits diversity for two transmitting antennas. The results show that, if there is a high variation in the amplitude of the M- QAM symbols, there will behigh effect of nonlinearity that causes high BER especially for high amplitude symbols at high SNR.

scholarly journals CNR and BER Ranges for the DVB-T2 Reception-Success

2017 ◽  
Vol 7 (6) ◽  
pp. 3727 ◽  
Author(s):  
Budi Setiyanto ◽  
Risanuri Hidayat ◽  
I Wayan Mustika ◽  
Sunarno Sunarno
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Digital Video ◽  
Second Generation ◽  
Field Measurements ◽  
Real Data ◽  
Digital Video Broadcasting ◽  
Numerical Examples ◽  
Video Broadcasting

DVB-T2 (Digital Video Broadcasting Terrestrial Second Generation) reception requires a sufficient quality of the received signal. <em>CNR</em> (carrier-to-noise ratio) and <em>BER</em> (bit-error-rate) are two of quantities describing the quality. This paper presents the range of each quantity providing a successful reception based on real data obtained by field-measurements. This data was collected from MO (mobile-outdoor) and SI (stationary-indoor) receiving-systems capturing signal sent by some on-air trial transmitters broadcasting services focused on the fixed-receivers. The result indicated that the successful and failed receptions were split into two quite separated (concentrated) ranges of post-decoded <em>BER</em> and therefore a boundary distinguishing them could be prominently defined. In contrast, they were spread in a wide common range of <em>CNR</em> and pre-decoded <em>BER</em>. Furthermore, the boundary that corresponded to this last quantity was ambiguous. In the case of MO reception as numerical examples, the two split ranges of post-decoded <em>BER</em> were less than about 10<sup>-5</sup> and more than about 2.7 × 10<sup>-4</sup> for the successful and failed receptions, respectively, whereas <em>CNR</em> as high as about 14 dB could be viewed as a soft boundary distinguishing these both reception-success conditions.

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