A signal synthesis method and system
A signal synthesis and signal technology, applied in the field of sensor networks, can solve the problem of not being able to optimize the convergence speed and synthesis loss at the same time
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Publication Date
- 2019-10-01
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Abstract
Description
technical field
[0001] The invention relates to the technical field of sensor networks, in particular to a signal synthesis method and system. Background technique
[0002] With the continuous development of sensor technology, the use of sensor networks to synthesize the received signals from multiple sensors has become one of the most effective methods to improve the signal-to-noise ratio. The sensor network uses multiple sensor nodes to receive the same signal, and uses the coherence of the signal and the incoherence of the noise to perform weighted synthesis of the received signal, thereby improving the quality of the received signal.
[0003] A SUMPLE algorithm is proposed in the article "The Sumple Algorithm for Aligning Arrays of Receiving Radio Antennas: Coherence Achieved with Less Hardware and Lower Combining Loss" published by D.H.Rogstad et al. A ProposedMatrix-Free signal combining Method (PMFM) algorithm was proposed in the article "Fast Eigen-Based Signal Comb...
Examples
Embodiment Construction
[0038] The technical solutions of the present invention will be described in further detail below with reference to the drawings and embodiments.
[0039] figure 1 It is a schematic flowchart of a signal synthesis method provided by an embodiment of the present invention. Such as figure 1 As shown, the method includes steps 101-103:
[0040] Step 101, establishing an objective function for synthesizing signals and an iterative function for synthesizing weights.
[0041] First, the received signal is first modeled as:
[0042]
[0043] in, Indicates the signal received by the i-th sensor at the k-th moment, i=1,2,...,N, N is the total number of sensors, and k is the time variable of the sampling point; Indicates the source signal received by the i-th sensor at the k-th moment; In order to represent the noise received by the i-th sensor at the k-th moment, the superscript s represents and There is a corresponding relationship and the upper triangle mark ^ indicate...