DPD Method for Fixed Single Observation Station based on Short-Distance Dual Array

Addressing the issues of existing passive location methods for fixed single observation station, such as excessively long baselines and poor noise resistance, this paper proposes a direct position determination (DPD) method based on short-distance dual array. Initially, a kind of dual-array antenna configuration is devised, and a passive location model based on the mixed signal of dual array is established. Subsequently, utilizing known waveform parameters, the redundant phase term which affects location accuracy is eliminated. On this basis, the DPD cost function is presented. Ultimately, the radiation source is located by using the two-dimensional (2-D) multiple signal classification (MUSIC) algorithm. In the analytical section, the fuzzy area, unlocatable area, locatable area, and the Cramer-Rao lower bound (CRLB) are derived theoretically. Following a quantitative analysis, the impact of baseline length, signal-to-noise ratio (SNR), and other parameters on location accuracy is elucidated. Then, geometric dilution of precision (GDOP) curves under various conditions are drawn. Compared with the existing methods, simulation results indicate that, if the element position error can be effectively controlled or compensated, the proposed method offers superior location performance under conditions of shorter baseline and lower SNR.