16QAM Intermediate Frequency Modulated Signal

This MATLAB implementation generates an intermediate frequency modulated signal using the 16QAM modulation scheme. The solution leverages MATLAB's signal processing functions and communication algorithms to achieve this objective. We begin by defining a modulation table containing 16 distinct symbols corresponding to the 16QAM constellation points, typically implemented using MATLAB's qammod function with 16 as the modulation order. Random symbol selection is performed using random number generators, followed by constellation mapping where each symbol is assigned specific in-phase and quadrature components. The intermediate frequency modulation process involves upconverting the baseband signals to an intermediate frequency carrier using trigonometric functions and digital mixers. Key MATLAB functions employed include cos() and sin() for carrier generation, along with arithmetic operations for signal mixing. To simulate real-world communication scenarios, we incorporate channel effects such as additive white Gaussian noise using awgn() function, and potentially include other impairments like phase noise or frequency offsets. This approach enables the generation of a realistic 16QAM intermediate frequency modulated signal suitable for subsequent signal processing tasks, including demodulation analysis, bit error rate calculations, and system performance evaluation. The implementation provides flexibility for parameter adjustments such as carrier frequency, symbol rate, and noise levels to accommodate various testing requirements.