Paper Info
Title
Parameter Matching Method for the Measurement of Two-dimensional Pulse Streams Signal
Abstract
Accurate measurement of multi-dimensional pulse streams signal is of great significance in the field of instrumentation and measurement, radar, communication and signal processing. Finite Rate of Innovation (FRI) sampling theory provides a powerful weapon to overcome the signal bandwidth limitation during the measurement which is far beyond the power of the Nyquist-Shannon sampling theory. However, parameter matching in high dimensional space in another dilemma in signal measurement. Based on the Alternating Direction Method of Multipliers (ADMM) framework, this paper proposes a parameter matching method for the FRI sampling of two-dimensional pulse streams signal. We apply the sparse model to the parameter measurement process which can be regarded as finding the optimal projection globally. Different from the classical heuristic algorithm, the proposed method is mathematically guaramteed and it does not damage the advantage of limiting sampling rate of the FRI theoretical framework. The numerical simulation experiments not only verifies the accuracy of our algorithm, but also shows its excellent performance compared with the classical algorithm in extreme conditions.
Year
DOI
Venue
2022
10.1109/I2MTC48687.2022.9806697
2022 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC 2022)
Keywords
DocType
ISSN
Finite Rate of Innovation, ADMM, Sparse, Multi-dimension
Conference
1091-5281
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Shuangxing Yun100.34
Ning Fu200.34
Liyan Qiao301.35