Robust Preamble Design for Synchronization, Signaling Transmission, and Channel Estimation


The European second generation digital video broadcasting customary introduces a P1 image. This P1 image facilitates the coarse synchronization and carries seven-bit transmission parameter signaling (TPS), as well as the quick Fourier rework size, single-input/single-output and multiple-input/single-output transmission modes, etc. However, this P1 symbol suffers from obvious performance loss over fading channels. During this paper, an improved preamble scheme is proposed, where a pair of optimal m sequences are inserted into the frequency domain. One sequence is used for carrier frequency offset (CFO) estimation, and the opposite carries TPS to inform the receiver concerning the transmission configuration parameters. Compared with the conventional preamble theme, the proposed preamble improves CFO estimation performance and the signaling capability. Meanwhile, while not further overhead, the proposed scheme exploits additional active pilots than the traditional schemes. In this manner, it will facilitate the channel estimation, improve the frame synchronization accuracy furthermore enhance its robustness to frequency selective fading channels.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Robust Fuzzy Learning for Partially Overlapping Channels Allocation in UAV Communication Networks ABSTRACT: The emerging cellular-enabled unmanned aerial vehicle (UAV) communication paradigm poses significant challenges
PROJECT TITLE : Server-Aided Fine-Grained Access Control Mechanism with Robust Revocation in Cloud Computing ABSTRACT: In a wide variety of cloud computing applications, attribute based encryption, also known as ABE, makes it
PROJECT TITLE : Robust H∞ Network Observer-Based Attack-Tolerant Path Tracking Control of Autonomous Ground Vehicle ABSTRACT: Under the influence of external disturbance, measurement noise, and actuator/sensor attack signals,
PROJECT TITLE : Robust Localization System using Vector Combination in Wireless Sensor Networks ABSTRACT: In this paper, we propose a localization system that is based on vectors and that takes into account both distance and
PROJECT TITLE : Robust Variational Learning for Multiclass Kernel Models With Stein Refinement ABSTRACT: The ability of kernel-based models to generalize well is impressive, but the vast majority of them, including the SVM, are

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry