MATLAB Implementation of Radar Signal Processing Algorithms

In radar signal processing, we can employ the MTD (Moving Target Detection) algorithm for clutter suppression. The MTD algorithm is an effective clutter suppression method that eliminates interference from clutter during signal processing. This typically involves implementing Doppler filters through FFT operations and applying CFAR (Constant False Alarm Rate) detection thresholds. Implementation in MATLAB would include functions for range-Doppler processing and moving target indication. Moreover, in spread spectrum modulation, we can use the DDS (Direct Digital Synthesis) implementation algorithm to generate spread spectrum signals. DDS is a digital direct synthesis technology that efficiently generates signals of various frequencies. In MATLAB code, this involves phase accumulation using lookup tables and digital oscillators with frequency control words to achieve precise frequency hopping patterns. Additionally, in direct sequence spread spectrum algorithm analysis, we can utilize the chirp generate LFM (Linear Frequency Modulated) signal algorithm to produce linear frequency modulated signals. This algorithm generates signals with different frequency change rates for various applications. MATLAB implementation typically includes functions for creating chirp signals with customizable parameters such as starting frequency, bandwidth, and duration using the chirp() function or custom phase accumulation methods. The generated LFM signals are crucial for pulse compression techniques in radar systems.