An Adaptive 24 GHz PSO-Based Optimized VCO in Next-Generation Wireless Sensor Networks

Wireless sensor networks (WSNs) for self-driving vehicles are growing rapidly, requiring high-performance radar systems with strong communication abilities. The key component of these systems is the voltage-controlled oscillator (VCO), which performs at 24 GHz with low phase noise, low power consumption, and a wide range of tuning. In this paper, the adaptive particle swarm optimization (PSO) algorithm incorporates adaptive scaling to speed up the optimization process. The new adaptive PSO minimizes the number of calculations required for complex engineering problems where rapid optimization is crucial and finding the best solution quickly is important. In order to test the adaptive PSO, benchmark functions are used. When applied to the proposed VCO circuit design, it facilitates more efficient adjustment of component values and improved performance, resulting in faster optimization. This optimized VCO achieves low phase noise of −120 dBc/Hz with a 1 MHz offset and a tuning range of 21.2%, operates at just 0.9 V, and consumes just 1.35 mW of power. A comparison of adaptive PSOs with traditional PSO methods shows that they improve the performance of the VCO, making them a promising choice for future automotive radar systems.