Abstract : Location information is crucial for sensor monitoring activities. Determining the location of an event or the location of a node acquiring a message is one of the most basic functions of a sensor network, playing a key role in the effectiveness of sensor network applications. The sensor angle measurement algorithm based on wave interferometry is a novel AOA algorithm. This paper proposes a method to solve the problem of blind spots that cannot be measured, improves the algorithm for calculating the period of synthetic wave intensity change, enhances the period measurement accuracy, and analyzes the main error sources of the algorithm. Simulation results show that the proposed method is simple and practical, effectively improving the performance of the wave interferometry-based angle measurement algorithm. Keywords : Wireless sensor network; Localization; Angle measurement; Wave interferometry 1. Introduction Location methods for wireless sensor networks can be divided into range-based localization algorithms and range-independent localization algorithms (Range-Based versus Range-Free). Range-based localization requires measuring point-to-point distance or angle information between nodes. Commonly used ranging techniques include Time of Arrival (TOA), Time Different on Arrival (TDOA), Received Signal Strength Indicator (RSSI), and Angle of Arrival (AOA). These methods have higher requirements for node hardware configuration than range-free algorithms, but their localization accuracy is better. Range-free localization, on the other hand, does not require distance and angle information and can be achieved solely based on network connectivity and other information. Typical algorithms include DV-hop and APITE. While these algorithms have the advantages of low hardware cost and low power consumption, their localization accuracy is lower. [Full text available for download: Analysis and Improvement of Wave Interference-Based Sensor Angle Measurement Algorithm]