Algorithm Design and Simulation Analysis of Performance Optimization of Terrestrial Digital TV Transmission System

The study proposes a comprehensive optimization algorithm that integrates signal processing techniques, adaptive modulation technology, and power allocation strategies. Through channel estimation and feedback mechanisms, this approach realizes Adaptive Modulation and Coding (AMC) along with Intelligent Power Control (IPC). The AMC algorithm dynamically adjusts the modulation scheme and coding rate based on Channel Quality Indicators (CQI) to adapt to varying channel conditions. Meanwhile, the IPC algorithm dynamically allocates transmission power according to channel states, user distribution, and power constraints to maximize coverage while reducing energy consumption. Simulation analyses were conducted using the Hata-Okumura radio wave propagation model, employing MATLAB and Vivado simulation software. The results indicate that the proposed algorithm significantly reduces Bit Error Rate (BER), enhances Signal-to-Noise Ratio (SNR), improves signal quality, and extends signal coverage, thereby optimizing transmission efficiency. This research provides robust technical support for the digital transformation of the broadcasting industry.