Although it’s crucial to transport data accurately between two sites since it’s needed for some key applications, data transmission errors are surprisingly frequent. Error detection and correction often use the Cyclic Redundancy Check (CRC) approach. In this study, we present a new, hardware-optimized method for error detection and correction in the context of CRC-16, CRC-32, that operates at a comparatively lower power and higher frequency. The suggested method makes it feasible to locate single bit errors precisely and rectify them with the least amount of hardware. This technique saves memory because it doesn’t need to look at tables. The effective application of this approach on FPGA is the main topic of this study.

The following report is a comprehensive discussion on the development of a resilient autonomous quadrotor equipped with a robust control mechanism for optimal performance. An introduction to quadrotor modeling and flight dynamics is provided first. The autopilot control and state estimation methods are then described from both software and hardware viewpoints. A review of PX4 autopilot control architecture is provided to comprehend a complete control system integration. It is followed by a survey of commonly used sensors, micro-controllers, actuators, and other hardware peripherals used in academic and commercial grade quadrotors, along with their architectural overview. Next, a brief discussion on the software components essential for a real-time implementation of the developed control system on the hardware is done. Finally, concluding remarks are made on each stage of quadcopter development, and potential research problems are forecasted.