CN103457681B - Method for identifying multipoint cooperation interference in different space positions - Google Patents
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Abstract
The invention discloses a method for identifying multipoint cooperation interference in different space positions. According to the method, information fusion is conducted on interference detection results of a plurality of nodes to acquire accurate parameters of interference signals. Firstly, channelization is conducted on the whole usable frequency band to form a plurality of sub-frequency bands capable of being detected, and initial identification is carried out after energy detection to acquire single-node identification results; then, identification results of a plurality of nodes in different space positions are mixed to carry out cooperation identification, and accordingly parameters like frequency, bandwidths and strength of the interference signal are acquired.
Description
Technical field
The invention belongs to the disturbance ecology technology of wireless communication technology field, relate to the content such as local disturbance ecology, interfere information selection and transmission and interfere information fusion judgement.
Background technology
Under the electromagnetic environment of complexity, there is a large amount of having a mind to and disturb unintentionally, and interference is along with time variations.An Interference Detection merely by starting shooting cannot ensure real-time and the accuracy of recognition result in whole communication process, therefore must periodically carry out disturbance ecology to revise communication frequency and speed.
Disturbance ecology due to single node exists and blocks and the problem such as channel fading, cause the disturbance ecology result of each node inaccurate: the node had causes owing to blocking that cannot to detect that interference is formed undetected, and some nodes form false-alarm and undetected due to the reason such as channel fading.Both of these case can be solved by cooperation disturbance ecology.
Especially, in the middle of broad band wireless transmission, interference signal arrives receiver and there is multipath fading equally.The interference signal that receiver receives has very large decline at frequency domain, depends merely on the Interference Detection of a node and identifies it is accurately to obtain the feature of interference signal.
Cooperation disturbance ecology be exactly in different spatial multiple node respectively Interference Detection and identification are carried out to signal, then the recognition result of multiple node is carried out information fusion, thus obtains disturbance ecology result accurately, provide foundation for hiding and resisting interference.This is a kind of application scenario of collaboration diversity in fact, and the collaborative process of multiple node can reach the effect of space diversity, thus effectively resists multipath fading.
Summary of the invention
Technical problem to be solved by this invention is owing to blocking the single node Interference Detection that causes with channel fading and identifying that inaccurate and start single identification cannot the problem of Adaptive change electromagnetic environment.
The technical solution used in the present invention is: a kind of multipoint cooperative Interference Detection and knowledge method for distinguishing, is characterized in that comprising the following steps:
(1) start working, each node for detecting interference signal detects respectively to interference signal, during detection, whole available frequency band is divided into multiple channels that can detect, each node all carries out energy measuring according to frequency order from low to high to each channel successively;
(2) energy detection results of multiple channel is spliced by each node separately, obtains the interference detection results for each node whole available frequency band separately;
(3) interference detection results of each node to respective whole available frequency band carries out thresholding identification, and the signal exceeding setting thresholding thinks local disturbance ecology signal;
(4) local disturbance ecology signal to be averaged calculating for stepping with bandwidth deltaf f by each node separately, obtains the interference strength information that local disturbance ecology signal is stepping with bandwidth deltaf f;
(5) the interference strength information being stepping with bandwidth deltaf f is sent to aggregation node by each node separately respectively;
(6) aggregation node is stepping with bandwidth deltaf f interference strength information adopts K order criterion to merge to all nodes: suppose always to have the interference strength converging information of N number of node together, wherein have in K node recognition band frequency have interference then think this band frequency exist interference, the intensity of interference is the average of each node interference strength information; Wherein, N be greater than 1 natural number, K is the natural number being less than or equal to N;
(7), after the setting-up time of interval, repeat step (1) and re-start disturbance ecology to (6), disturbance ecology result is upgraded.
The present invention compared with prior art has following beneficial effect:
1, carry out Interference Detection and identification by multiple node cooperation, can solve and block due to shade in single node situation and the inaccurate problem of disturbance ecology that multipath fading causes;
2, periodically interference signal is detected in communication process, it can be combined with selection Anti-interference Strategy, thus dynamic interference signal can be avoided all the time when can solve environmental change, reach best communication efficiency.
Accompanying drawing explanation
Fig. 1 is multi-node collaboration disturbance ecology schematic diagram.
Fig. 2 is single node disturbance ecology analogous diagram.
Fig. 3 is multi-node collaboration disturbance ecology analogous diagram.
Fig. 4 is multi-node collaboration disturbance ecology detection probability simulation curve.
Fig. 5 is multi-node collaboration disturbance ecology false alarm probability simulation curve.
Fig. 6 is PERIODIC INTERFERENCE identification structure of time slot.
Embodiment
Below, the invention will be further described for composition graphs 1 to Fig. 6:
Multipoint cooperative interference identification method in a kind of different spatial, suppose have an aggregation node that information fusion can be carried out, each node can exactly by detection and Identification converging information to aggregation node, then carry out the fusion of disturbance ecology result at aggregation node, schematic diagram is as shown in Figure 1.
(1) start working, each node for detecting interference signal detects respectively to interference signal, during detection, whole available frequency band is divided into multiple channels that can detect, each node all carries out energy measuring according to frequency order from low to high to each channel successively;
The method carries out Interference Detection and identification to the available frequency band in one section of broadband, is assumed to be 300MHz ~ 400MHz for 100MHz() bandwidth be described and emulate.Suppose that the maximum bandwidth of receiver is 20MHz, whole available frequency band is so at least needed to be divided into 5 channels, then centre frequency is set to 310MHz respectively, 330MHz, 350MHz, 370MHz and 390MHz carries out the energy measuring of 20MHz successively, obtain 300MHz ~ 320MHz, 320MHz ~ 340MHz, 340MHz ~ 360MHz, the energy detection results of 360MHz ~ 380MHz, 380MHz ~ 400MHz five frequency ranges.
(2) energy detection results of multiple channel is spliced by each node separately, obtains the interference detection results for each node whole available frequency band separately;
The energy detection results of 300MHz ~ 320MHz, 320MHz ~ 340MHz, 340MHz ~ 360MHz, 360MHz ~ 380MHz, 380MHz ~ 400MHz five frequency ranges is stitched together by each node respectively, obtains the interference detection results of 300MHz ~ 400MHz frequency range.
(3) interference detection results of each node to respective whole available frequency band carries out thresholding identification, and the signal exceeding setting thresholding thinks local disturbance ecology signal;
Here setting thresholding can be fixed threshold or variable threshold, and wherein fixed threshold can be arranged according to background noise levels.Fixed threshold is adopted in this example.
(4) local disturbance ecology signal to be averaged calculating for stepping with bandwidth deltaf f by each node separately, obtains the interference strength information that local disturbance ecology signal is stepping with bandwidth deltaf f;
Each node is that statistics and average is carried out in stepping with 1MHz to the interference signal exceeding thresholding, and with the bandwidth deltaf f interference strength information that is stepping as shown in Figure 2, in figure, horizontal line is thresholding to the local disturbance ecology signal of single node, and what exceed thresholding is interference.Here suppose the broad-band interference of the 20MHz bandwidth of existence 30MHz a to 50MHz, channel is multidiameter fading channel.Can find out the existence due to multipath fading, there is very large error in the interference result of single node identification, there is more false-alarm and undetected.
(5) the interference strength information being stepping with bandwidth deltaf f is sent to aggregation node by each node separately respectively;
The channel sending interference strength information is specific anti-interference channel, can use the signaling channel of system or arrange the anti-interference channel of special low rate.
(6) aggregation node is stepping with bandwidth deltaf f interference strength information adopts K order criterion to merge to all nodes: suppose always to have the interference strength converging information of N number of node together, wherein have in K node recognition band frequency have interference then think this band frequency exist interference, the intensity of interference is the average of each node interference strength information; Wherein, N be greater than 1 natural number, K is less than or equal to the natural number of N;
With the bandwidth deltaf f interference strength information that is stepping as shown in Figure 3, in figure, horizontal line is thresholding to disturbance ecology signal after multinode merges, and what exceed thresholding is interference.Compared with Fig. 2, the interference result of multi-node collaboration identification then compares with actual conditions and conforms to.
Emulate for N=5 and N=10 respectively herein, suppose that M=2(has two nodal test to go out interference and just thinks to there is interference), so the detection probability false alarm probability of multipoint cooperative disturbance ecology is as shown in Figure 4 and Figure 5.Can find out that comparing single node detects, detection probability and the false alarm probability of cooperation interference all have clear improvement, and nodes is more, improves effect more obvious.
(7), after the setting-up time of interval, repeat step (1) and re-start disturbance ecology to (6), disturbance ecology result is upgraded.
Disturbance ecology needs periodically to carry out, and design structure of time slot as shown in Figure 6.Whole time slot can be divided into signalling time slot, data slot, detection time slot and cooperation time slot.Because the cycle of Interference Detection is longer, multiple frame can be formed a multi-frame, each multi-frame arranges a local detection time slot and cooperation time slot.Each like this multi-frame can identify interference.
Claims (1)
1. the multipoint cooperative interference identification method in different spatial, is characterized in that comprising the following steps:
(1) start working, each node for detecting interference signal detects respectively to interference signal, during detection, whole available frequency band is divided into multiple channels that can detect, each node all carries out energy measuring according to frequency order from low to high to each channel successively;
(2) energy detection results of multiple channel is spliced by each node separately, obtains the interference detection results for each node whole available frequency band separately;
(3) interference detection results of each node to respective whole available frequency band carries out thresholding identification, and the signal exceeding setting thresholding thinks local disturbance ecology signal;
(4) local disturbance ecology signal to be averaged calculating for stepping with bandwidth deltaf f by each node separately, obtains the interference strength information that local disturbance ecology signal is stepping with bandwidth deltaf f;
(5) the interference strength information being stepping with bandwidth deltaf f is sent to aggregation node by each node separately respectively;
(6) aggregation node is stepping with bandwidth deltaf f interference strength information adopts K order criterion to merge to all nodes: suppose always to have the interference strength converging information of N number of node together, wherein have in K node recognition band frequency have interference then think this band frequency exist interference, the intensity of interference is the average of each node interference strength information; Wherein, N be greater than 1 natural number, K is the natural number being less than or equal to N;
(7), after the setting-up time of interval, repeat step (1) and re-start disturbance ecology to (6), disturbance ecology result is upgraded.
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| CN106559816A (en) * | 2015-09-29 | 2017-04-05 | 中兴通讯股份有限公司 | Area interference detection method and device |
| CN109946526B (en) * | 2019-02-25 | 2021-12-28 | 天津大学 | Complex electromagnetic environment detection network fusing Internet of things and cloud platform and detection method thereof |
| CN114401525A (en) * | 2021-12-16 | 2022-04-26 | 天津七一二通信广播股份有限公司 | Interference position detection method and system based on narrow-band noise energy estimation |
| CN113938228B (en) * | 2021-12-16 | 2022-03-01 | 天津七一二通信广播股份有限公司 | Network domain cooperation interference position detection method and system |
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| CN202949430U (en) * | 2012-11-20 | 2013-05-22 | 无锡儒安科技有限公司 | Channel disturbance detecting device |
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| CN101437295A (en) * | 2008-12-09 | 2009-05-20 | 重庆邮电大学 | Method for detecting perception radio collaboration frequency spectrum based on SNR compare |
| CN103262599A (en) * | 2010-12-16 | 2013-08-21 | 诺基亚公司 | Method and apparatus providing interference measurement in a coordinated multi-oint transmission environment |
| CN102739325A (en) * | 2011-04-01 | 2012-10-17 | 上海无线通信研究中心 | Cooperative frequency spectrum perception method |
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