Abstract : In pure orientation target tracking, wireless sensor networks collect the target orientation measured by each node and use adaptive filters to estimate the tracked target. The network requires high-performance management algorithms to achieve high performance in both positioning accuracy and energy conservation. This paper proposes a self-organizing network target tracking algorithm. At each sampling time, the algorithm selects the group of nodes with the best positioning performance to measure the target based on the self-organizing principle. Compared with traditional global node selection algorithms, this algorithm avoids using traversal methods to select nodes, saving computational and storage work for real-time updating of global node information. According to this algorithm, each node determines whether it is working based solely on its own position information and simple mathematical calculations. Simulation results show that this algorithm has similar positioning accuracy to node selection algorithms that perform global traversal. Moreover, it has good robustness and scalability. Since only a portion of the nodes participate in the algorithm's execution at each sampling time, its energy cost is also limited. Keywords : Direction of arrival; Kalman filter; Tracking; Wireless sensor network 1. Introduction Distributed wireless sensor network technology is an important development direction in network technology in recent years. It provides an important solution for battlefield target surveillance and tracking. In complex and highly interference-prone environments, wireless sensor networks (WSNs) can efficiently and robustly collect target information, achieving pure azimuth target tracking. However, sensor power is limited, especially in emergency applications where battery charging or replacement is often difficult. Furthermore, the measurement accuracy between nodes is constrained by their geometric topology relative to the target. Therefore, high-performance tracking algorithms need to predict the target's trajectory and rationally manage the working state of WSN nodes accordingly, thereby ensuring high-precision tracking while avoiding unnecessary energy waste. (Full text download of a self-organizing wireless sensor network pure azimuth target tracking algorithm is available.)