The Research on Range Based Location Algorithms in Radio Interference

For astronomical studies observed by radio telescopes, even very weak radio frequency interference signals can cause observation failures or reduced efficiency. Radio frequency interference at radio telescope sites is increasing, and it is necessary to find and reduce the source of radio frequency interference as soon as possible. Wireless positioning technology has become an important technical means to obtain the accurate position of the radio frequency emission source when searching for the source of interference. Range based radio positioning algorithms have attracted much attention because of their high positioning accuracy and strong stability. This paper studies several radio positioning algorithms based on ranging, analyzes and compares the characteristics of these ranging positioning algorithms. Through comparison, the TDOA (Time Difference Of Arrival) positioning algorithm has low computational complexity and high positioning accuracy, and the RSSI (Received Signal Strength Indication) positioning algorithm is simple and easy to implement. On this basis, a ranging wireless positioning algorithm based on the data fusion of TDOA positioning algorithm and RSSI positioning algorithm is proposed. The algorithm introduces a data fusion method that uses signal reception strength as the weight of the initial position estimate based on multiple initial position estimates obtained by the TDOA positioning algorithm, then obtains a position with high positioning accuracy through linear weighted normalization processing estimated value. Because the signal reception strength is easy to obtain, the data fusion algorithm adds less calculation to the TDOA positioning algorithm, and the simulation results show that the algorithm reduces the positioning error by about 20% compared to the single TDOA positioning algorithm, effectively improving the positioning accuracy. It is convenient to find radio frequency interference sources quickly at low cost.