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Signal combination method and system

A technology for signal synthesis and signal synthesis, applied in the field of sensor networks, it can solve problems such as large amount of calculation, and achieve the effect of simplifying the amount of calculation and maintaining performance.

Active Publication Date: 2018-11-13
INST OF ACOUSTICS CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem of large amount of calculation in the existing signal synthesis technology, provide a signal synthesis method and system, and use the matrix block recursive algorithm to calculate the characteristic matrix to be solved

Method used

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Embodiment 2

[0177] In embodiment 2, N=4, L=1024, signal-to-noise ratio is 0dB, noise variance is equal, SNR EIGEN utilizes traditional method to obtain equal:

[0178]

[0179] SNR EIGEN is obtained by Strassen method equal:

[0180]

[0181] SNR EIGEN is obtained by ZBS method equal:

[0182]

[0183] Comparing the above three formulas, it can be seen that the Strassen method is used to complete the SNR EIGEN The matrix multiplication operation does not affect calculation accuracy. Using the ZBS method to complete the SNR EIGEN The matrix multiplication operation for The calculation accuracy error is very small, and the maximum error is less than 0.37%.

Embodiment 3

[0184] In Example 3, N=4, L=1024. When the noise variances are equal, such as Figure 4 As shown, the combination loss of SNR EIGEN algorithm and SNR+Strassen algorithm is the smallest, and the combination loss of SNR+ZBS is better than COP EIGEN, AC EIGEN and AC+Strassen algorithm. And when the noise variances are not equal, such as Figure 5 As shown, the SNR EIGEN algorithm and the SNR+Strassen algorithm still have the smallest combined loss, while the combined loss of the SNR+ZBS is slightly more than that of the SNREIGEN algorithm and the SNR+Strassen algorithm, better than the AC EIGEN and AC+Strassen algorithms, and significantly better than the COP EIGEN.

[0185] Combining the results of the above embodiments, the fast signal synthesis methods SNR+Strassen, AC+Strassen and SNR+ZBS proposed by the present invention can all be flexibly applied to situations where the noise variances are equal or the noise variances are unequal. Compared with SNR EIGEN and AC EIGEN, S...

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Abstract

The invention discloses a signal combination method and system. The method comprises the steps of establishing an objective function related to a combined signal, and determining a to-be-solved characteristic matrix corresponding to a combination weight vector according to the objective function; computing the to-be-solved characteristic matrix through adoption of a matrix blocking recursive algorithm and obtaining a solved characteristic matrix; computing the optimum combination weight vector corresponding to the solved characteristic matrix; and carrying out weighted coherent addition operation on multiway signals according to the optimum combination weight vector, thereby determining the combined signal. The method and the system provided by the invention can be utilized under the condition that noise variances of the multiway signals are equal or unequal, the computing quantity is greatly simplified, and the performance of the combined signal is kept.

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] Ensuring reliable reception of weak signals has always been a hot spot in the field of signal processing. Especially in recent years, with the increase of sensor detection distance and range, the challenge of receiving weak target signals has become increasingly severe, while the noise of the receiver itself limits the receiving performance of a single sensor. An effective solution is to use multiple randomly arranged sensors to jointly receive the same signal, and improve the signal-to-noise ratio of the received signal through signal synthesis technology. The goal of signal synthesis is to maximize the signal-to-noise ratio of the synthesized signal. In addition to compensating for the time delay and other difference parameters of multi-channel received signals, it is also necessary to perform weighted...

Claims

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Application Information

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IPC IPC(8): H04L25/03
CPCH04L25/03343
Inventor 王雷欧王东辉
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
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