Implementing Single-Station Passive Location Simulation Algorithm with Two-Dimensional Linear Motion Targets

In this document, we explore the implementation of a single-station passive location simulation algorithm for targets performing two-dimensional linear motion. To better understand this problem, we first need to understand passive positioning and its real-world applications. Passive positioning refers to determining target locations by receiving signals emitted from the targets themselves, without requiring the targets to transmit signals intentionally. This technology finds wide applications in search and rescue operations for missing persons, emergency response missions, and military reconnaissance scenarios. Building upon this foundation, we need to further understand two-dimensional linear motion. Two-dimensional linear motion describes objects moving along straight-line trajectories within a plane. When implementing the single-station passive location simulation algorithm for targets undergoing two-dimensional linear motion, we must consider factors such as object velocity, acceleration, and direction. Through analysis of these parameters using numerical computation methods, we can determine the target's motion trajectory and achieve passive positioning. Therefore, when completing the task of implementing single-station passive location simulation for targets with two-dimensional linear motion, we need to consider multiple factors including: the principles of passive positioning technology, characteristics of two-dimensional linear motion, and the target's kinematic state. Key implementation aspects include developing motion models using differential equations, implementing signal processing algorithms for received signals, and creating trajectory prediction modules. Only through comprehensive analysis and research of these factors can we successfully accomplish this task and achieve satisfactory results.