High-precision rapid time-frequency difference estimation method under same-frequency interference
By using segmented spectrum correlation function and time domain offset technology in passive positioning, the cyclic frequency value and correlation function received by the receiving station are calculated, and the high-precision estimation of the time-frequency difference parameters are solved. The time-frequency difference under homofrequency interference is solved The problem of low parameter estimation accuracy reduces the computational complexity and meets the timeliness of passive positioning engineering.
Patent Information
- Application Number
- CN202411224708.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-03
- Publication Date
- 2025-01-14
AI Technical Summary
The existing passive positioning technology is difficult to achieve high-precision fast time-frequency difference parameter estimation in the environment of homogeneous interference, especially in multi-station collaborative positioning, with a large number of signals and complex spectrum overlap. The existing method is under low signal-to-noise ratio. The parameter estimation accuracy is poor, and the baseline length limits the positioning accuracy.
The segmented spectrum correlation function is used to calculate the cyclic frequency value of the target signal received by the receiving station, and the coarse cyclic autocorrelation and cross-correlation functions are calculated through large-scale time domain offset, and the time-frequency difference fuzzy function diagram is obtained, and the spectral peak search is performed to obtain the coarse estimation. value, adjust the time difference search range, calculate the fine cyclic autocorrelation and cross-correlation functions, and realize high-precision estimation of time and frequency difference parameters.
Effectively separate the target signal from the same frequency interference signal, realize high-precision estimation of time-frequency difference parameters, reduce calculation complexity, and meet the timeliness requirements of passive positioning engineering.
Smart Images

Figure CN119312000A_ABST