Satellite Signal Angle–Frequency Estimation Under Impulse Noise
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for satellite signal angle and frequency estimation fail to effectively address non-Gaussian noise, particularly impulse noise, in satellite navigation receivers, with insufficient attention given to joint angle and frequency estimation using antenna arrays.
Innovation Solution
A method involving data collection by an antenna array, re-weighting and substituting initial data into a signal function using a complex-valued conjugate gradient descent method to solve for satellite signal angle and frequency, considering sparsity in both spatial and frequency domains, and utilizing an optimization objective function to estimate these parameters under non-Gaussian noise conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional signal estimation methods are used in the presence of non-Gaussian noise, then the estimation accuracy deteriorates, but the complexity of handling non-Gaussian noise increases
Solution Approach 1:
The patent changes the noise model parameter from Gaussian to non-Gaussian (impulse noise) and adapts the estimation method accordingly. By using robust estimation techniques that can handle non-Gaussian noise characteristics, the system maintains estimation accuracy while accounting for the increased complexity of non-Gaussian noise environments.
Solution Approach 2:
The patent replaces conventional Gaussian-based signal processing mechanisms with non-Gaussian robust estimation mechanisms. This substitution allows the system to maintain measurement precision in the presence of impulse noise by using statistical methods specifically designed to handle non-Gaussian noise characteristics.
2Reliability
If joint angle and frequency estimation is performed using antenna arrays, then the signal capture and tracking capabilities improve, but the computational complexity increases
Solution Approach 1:
The patent merges angle estimation and frequency estimation into a single joint estimation process using antenna arrays. By combining these two estimation tasks, the system improves signal capture and tracking capabilities while managing computational complexity through integrated processing rather than separate estimation steps.
Solution Approach 2:
The patent creates a universal estimation framework that simultaneously handles both angle and frequency estimation using the same antenna array system. This multi-functional approach allows the system to perform multiple estimation tasks with a single computational framework, improving reliability while controlling complexity.
3Measurement precision
If robust estimation methods are used to handle non-Gaussian noise, then the estimation accuracy in noisy environments improves, but the processing time increases
Solution Approach 1:
The patent applies partial robust estimation actions by using robust estimation techniques only when non-Gaussian noise is detected or suspected, rather than always using the most complex robust methods. This selective application maintains estimation accuracy in noisy environments while reducing processing time in clean signal conditions.
Solution Approach 2:
The patent dynamically adjusts the estimation method based on noise conditions. By monitoring the signal characteristics and adapting the estimation approach in real-time, the system can use simpler methods when noise is absent and switch to robust methods only when needed, balancing accuracy and processing time.
Data Source
AI summary
A signal angle and signal frequency estimation method, apparatus, device and storage medium are provided. The signal angle and signal frequency estimation method comprises the steps: collecting initial data of a satellite signal by means of an antenna array element; substituting initial data into a signal function, and finding a solution to obtain the satellite signal; and obtaining the angel and frequency of the satellite signal according to the satellite signal. According to the method, in consideration of the non-Gaussian noise environment as well as spatial domain sparse feature and frequency domain sparse feature of the satellite signal, the angle and the frequency of the satellite signal are estimated jointly, thereby facilitating subsequent obtaining and tracking the satellite signal by a satellite navigation receiver.