CN110927451B - Distributed signal fusion method for electromagnetic spectrum monitoring receiver - Google Patents
Distributed signal fusion method for electromagnetic spectrum monitoring receiver Download PDFInfo
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- CN110927451B CN110927451B CN201911186400.5A CN201911186400A CN110927451B CN 110927451 B CN110927451 B CN 110927451B CN 201911186400 A CN201911186400 A CN 201911186400A CN 110927451 B CN110927451 B CN 110927451B
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Abstract
The invention discloses a distributed signal fusion method of an electromagnetic spectrum monitoring receiver, belonging to the field of electromagnetic spectrum monitoring, distributed sensing and edge calculation, and comprising the following steps: listing all signals received from each distributed node into a signal list; sorting all signal edges in the signal list from small to large, and marking whether the edge is a starting edge or a cut-off edge of the signal; initializing the edge count to be 0, traversing the edge from small to large, adding 1 to the count when a signal initial edge is met, and subtracting 1 from the count when a signal cutoff edge is met; when the count changes from 0 to 1, it is recorded as the start of the fusion signal; when the count changes from 1 to 0, it is recorded as the end of the fusion signal. The invention relates to a distributed signal fusion method of an electromagnetic spectrum monitoring receiver, which can fuse all superposed signals only by once circulation; the algorithm operation amount is obviously reduced, and the signal fusion speed is greatly improved; the algorithm has clear and simple logic, easy realization and strong stability.
Description
Technical Field
The invention belongs to the field of electromagnetic spectrum monitoring, distributed sensing and edge calculation, and particularly relates to a distributed signal fusion method for an electromagnetic spectrum monitoring receiver.
Background
In the process of distributed spectrum monitoring and analysis, a small amount of deviation may exist in the signal results transmitted to the downstream module by different detection algorithm modules or distributed edge computing nodes, and the same signal is displayed as different signals with partial superposition, as shown in fig. 1. Before presenting the signals to the user, it is necessary to merge signals where there is partial coincidence into one and the same signal. Disadvantages of the prior art methods: (1) the coincidence relation between different signals needs to be compared for many times, the cycle number increases exponentially along with the number of the signals, and the calculation amount is large. (2) Due to various signal superposition modes, the traditional method has complex discrimination rules, large code compiling workload and easy fusion error.
In order to improve the accuracy of monitoring the spectrum signals and expand the monitoring range, a spectrum monitoring task is developed from a single sensing node to a direction from distributed node sensing, single algorithm detection of suspicious signals to multi-algorithm cooperative detection of signals. However, the distributed sensing and multi-algorithm detection mechanism brings new problems: the result signals output by different sensing nodes and different upstream detection algorithm modules are not completely the same, and usually the result signals output by different sensing nodes or different upstream detection algorithm modules are overlapped but have a certain offset, as shown in fig. 2.
In the prior art, a traversal comparison mode is adopted, the coincident signals are fused after being found, then the list is updated, and the traversal process is repeated on the new list until no coincident signal exists in the list. The implementation flow of the prior art solution is shown in fig. 3. As can be seen from FIG. 3, the existing algorithm is very complex, requires multiple cycles and comparisons, and is computationally expensive. In addition, the existing algorithm has complex flow and high programming difficulty, and is easy to cause errors.
The prior art has the following disadvantages:
(1) the calculation amount is large, and when the number of signals is large, the calculation speed is very time-consuming.
(2) The logic structure is complex, so that the program is easy to make mistakes and has low stability.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides a distributed signal fusion method of an electromagnetic spectrum monitoring receiver, which is reasonable in design, overcomes the defects of the prior art and has a good effect.
In order to achieve the purpose, the invention adopts the following technical scheme:
a distributed signal fusion method for an electromagnetic spectrum monitoring receiver comprises the following steps:
step 1: listing all signals into a signal list;
step 2: sorting all signal edges in the signal list from small to large, and marking whether the edge is a starting edge or a cut-off edge of the signal;
and step 3: initializing the edge count to be 0, traversing the edge from small to large, adding 1 to the count when a signal initial edge is met, and subtracting 1 from the count when a signal cutoff edge is met;
and 4, step 4: when the count changes from 0 to 1, it is recorded as the start of the fusion signal; when the count changes from 1 to 0, it is recorded as the end of the fusion signal.
The invention has the following beneficial technical effects:
(1) a distributed signal fusion method of an electromagnetic spectrum monitoring receiver can fuse all superposed signals only by once circulation.
(2) The algorithm operation amount is obviously reduced, and the signal fusion speed is greatly improved.
(3) The algorithm logic is clear and simple, the implementation is easy, and the program stability is strong.
Drawings
Fig. 1 is a schematic diagram of a coincidence signal.
Fig. 2 is a schematic diagram of fusion of output signals of different algorithm modules or nodes.
Fig. 3 is a flowchart of a conventional fusion method.
Fig. 4 is a schematic diagram of a signal fusion process.
Detailed Description
The invention is described in further detail below with reference to the following figures and detailed description:
a distributed signal fusion method for an electromagnetic spectrum monitoring receiver, as shown in fig. 4, includes the following steps:
step 1: listing all signals into a signal list;
step 2: sorting all signal edges in the signal list from small to large, and marking whether the edge is a starting edge or a cut-off edge of the signal;
and step 3: initializing the edge count to be 0, traversing the edge from small to large, adding 1 to the count when a signal initial edge is met, and subtracting 1 from the count when a signal cutoff edge is met;
and 4, step 4: when the count changes from 0 to 1, it is recorded as the start of the fusion signal; when the count changes from 1 to 0, it is recorded as the end of the fusion signal.
The invention takes the type of the signal edge (the initial edge or the cut-off edge) as the basis of signal fusion, which is different from the traditional method which takes the frequency range value of the signal as the basis; the counting of the edges is taken as a fusion criterion, which is different from any fusion method in the past.
It is to be understood that the above description is not intended to limit the present invention, and the present invention is not limited to the above examples, and those skilled in the art may make modifications, alterations, additions or substitutions within the spirit and scope of the present invention.
Claims (1)
1. A distributed signal fusion method for an electromagnetic spectrum monitoring receiver is characterized by comprising the following steps: the method comprises the following steps:
step 1: listing all signals into a signal list;
step 2: sorting all signal edges in the signal list from small to large, and marking whether the edge is a starting edge or a cut-off edge of the signal;
and step 3: initializing the edge count to be 0, traversing the edge from small to large, adding 1 to the count when a signal initial edge is met, and subtracting 1 from the count when a signal cutoff edge is met;
and 4, step 4: when the count changes from 0 to 1, it is recorded as the start of the fusion signal; when the count changes from 1 to 0, it is recorded as the end of the fusion signal.
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