Channel capacity and performance evaluation of precoded MIMO-OFDM system with large-size constellation

Multiple-input, multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems with multiple input antennas and multiple output antennas in dynamic environments face the challenge of channel estimation. To overcome this challenge and to improve the performance and signal-to-noise ratio, in this paper we used the Kalman filter for the correct estimation of the signal in dynamic environments. To obtain the original signal at the receiver end bit error rate factor plays a major role. If the signal to noise ratio is high and the bit error rate is low then signal strength is high, the signal received at the receiver end is almost similar to the ith transmitted signal. The dynamic tracking characteristic of Kalman filter is used to establish a dynamic space-time codeword and a collection of orthogonal pilot sequences to prevent interference among transmissions in this paper. Using the simulation, the Kalman filter method can be compared to the other channel estimation method presented in this paper that can track time-varying channels rapidly.

Section: Mimo Channel Capacitymentioning

confidence: 99%

Estimation of bit error rate in 2×2 and 4×4 multi-input multi-output-orthogonal frequency division multiplexing systems

Kumar

Prasanna²,

Alagarsamy³

et al. 2023

“…Sevral attempts have been presented in the field of improving the communication systems using channel coding [13][14][15][16][17][18]. In addition, motivating from the decoding treatment which has done by the pattern recognition (PR) [19][20][21][22][23][24][25] to resume decoding when the decoder halt, and the work introduced by [10] for the NUDS, we propose a deterministic encoding (DDG) approach for LT like codes. The proposed approach is designed to be used especially for short frame lengths.…”

Section: Deterministic Degree Generation (Ddg)mentioning

confidence: 99%

Improving the data recovery for short length LT codes

Abdulkhaleq¹,

Abed²,

Hasan³

et al. 2020

Luby Transform (LT) code is considered as an efficient erasure fountain code. The construction of the coded symbols is based on the formation of the degree distribution which played a significant role in ensuring a smooth decoding process. In this paper, we propose a new encoding scheme for LT code generation. This encoding presents a deterministic degree generation (DDG) with time hoping pattern which found to be suitable for the case of short data length where the well-known Robust Soliton Distribution (RSD) witnessed a severe performance degradation. It is shown via computer simulations that the proposed (DDG) has the lowest records for unrecovered data packets when compared to that using random degree distribution like RSD and non-uniform data selection (NUDS). The success interpreted in decreasing the overhead required for data recovery to the order of 25% for a data length of 32 packets.

“…In fact, the mismatch vectors and their boundary norms are unknown. In this case, the most recent method is to iteratively estimate the actual steering vector [18], [19].…”

Section: Introductionmentioning

confidence: 99%

Discrete interferences optimum beamformer in correlated signal and interfering noise

Singh

Yadav

et al. 2022

This paper introduces a significant special situation where the noise is a collection of D-plane interference signals and the correlated noise of D+1 is less than the number of array components. An optimal beamforming processor based on the minimum variance distortionless response (MVDR) generates and combines appropriate statistics for the D+1 model. Instead of the original space of the N-dimensional problem, the interference signal subspace is reduced to D+1. Typical antenna arrays in many modern communication networks absorb waves generated from multiple point sources. An analytical formula was derived to improve the signal to interference and noise ratio (SINR) obtained from the steering errors of the two beamformers. The proposed MVDR processor-based beamforming does not enforce general constraints. Therefore, it can also be used in systems where the steering vector is compromised by gain. Simulation results show that the output of the proposed beamformer based on the MVDR processor is usually close to the ideal state within a wide range of signal-to-noise ratio and signal-to-interference ratio. The MVDR processor-based beamformer has been experimentally evaluated. The proposed processor-based MVDR system significantly improves performance for large interference white noise ratio (INR) in the sidelobe region and provide an appropriate beam pattern.