CN104965959A - Assessment method for anti-electromagnetic interference performance of wireless communication system - Google Patents
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Abstract
The invention discloses an assessment method for anti-electromagnetic interference performance of a wireless communication system. The method comprises establishing an assessment index system of anti-electromagnetic interference performance of wireless communication, after overall considering wireless communication environment, common anti-interference means, specific anti-interference performance of links, specific anti-interference performance of network switching, and safety transmission performance of a physical layer; establishing an assessment model used for the anti-electromagnetic interference performance of the wireless communication system; establishing relation between assessment indexes and the anti-electromagnetic interference performance of the wireless communication system through the model; and finally, obtaining a comprehensive assessment result of anti-interference performance of a fuse on the basis of the assessment indexes. The assessment method can comprehensively display anti-electromagnetic interference performance of a wireless communication system, the specific assessment steps include determining a factor set, selecting a remark set, selecting a second stage fuzzy comprehensive evaluation weight set, establishing a single-factor evaluation matrix, calculating a result of the second stage fuzzy comprehensive evaluation, selecting a first stage fuzzy comprehensive evaluation weight set, calculating a result of the first stage fuzzy comprehensive evaluation, and obtaining a final assessment result.
Description
Technical field
The present invention relates to wireless communication technology field, be specifically related to a kind of wireless communication system electromagnetism interference performance estimating method.
Background technology
Along with wireless communications application scope is constantly expanded, the wireless communications application under some extreme communication conditions has incorporated in daily life, as satellite navigation, satellite communication and deep space communication etc.Meanwhile, the scale along with radio communication expands and the continuing to increase of number of users gradually, and make wireless communication network architecture increasingly sophisticated, frequency resource is fewer and feweri.And due to reasons such as the emissive power of wireless communication system are limited, signal propagation distance is far away, channel circumstance is severe, make receiving end signal very faint, signal to noise ratio (S/N ratio) is extremely low, easily be subject to the various interference from various aspects, have a strong impact on communication quality, wherein electromagnetic interference (EMI) is the main interference that wireless communication system faces, and therefore the quality of wireless communication system electromagnetism interference performance evaluates the key factor of performance in wireless communication systems.And along with electromagnetic interference (EMI) and anti interference struggle against day by day fierce, the electromagnetism interference performance requirement of people to wireless communication system is more and more high, and how objective, accurately and be quantitatively the important topic in wireless communication technology field to the anti-electromagnetic interference capability evaluation of wireless communication system, play an important role in the design research and development and use procedure of wireless communication system.But because the electromagnetic interference (EMI) factor affecting wireless communication system is a lot, index and the parameter of most reflection system anti-electromagnetic interference capability are all the performance of reflection system in a certain particular aspects, can not the electromagnetism interference performance of concentrated expression system, therefore incomplete at present and valid wireless communication system electromagnetism interference Performance Evaluation index system and method.
Summary of the invention
For the technical matters existed in prior art, the invention provides a kind of wireless communication system electromagnetism interference performance estimating method, first by considering wireless communications environment, conventional antijamming measure, consider concrete link and network exchange interference free performance and safety of physical layer transmission performance simultaneously, set up radio communication electromagnetism interference Performance Evaluation index system, then build one and be applicable to wireless communication system electromagnetism interference Performance Evaluation Model, the relation between each evaluation index and wireless communication system electromagnetism interference overall performance is set up by assessment models, final realization draws the comprehensive assessment result of antiinterference performance according to each evaluation index.
To achieve these goals, the present invention adopts following technical scheme.
A kind of wireless communication system electromagnetism interference performance estimating method, first, by considering wireless communications environment, conventional antijamming measure, consider concrete link and network exchange interference free performance and safety of physical layer transmission performance simultaneously, set up radio communication electromagnetism interference Performance Evaluation index system; Then, build one and be applicable to wireless communication system electromagnetism interference Performance Evaluation Model, set up the relation between each evaluation index and wireless communication system electromagnetism interference overall performance by assessment models, finally realize the comprehensive assessment result drawing antiinterference performance according to each evaluation index.
Preferably, described in consider wireless communications environment, conventional antijamming measure, comprise spread spectrum, the selection of antenna and signal handling capacity.
In above-mentioned arbitrary technical scheme preferably, the radio communication electromagnetism interference Performance Evaluation index system of described foundation comprises these three levels of system synthesis system, system properties and the index corresponding to each performance.
In above-mentioned arbitrary technical scheme preferably, the properties of described radio communication electromagnetism interference Performance Evaluation index system comprises wireless communications environment interference free performance, spread spectrum interference free performance, Antenna Anti-jamming performance, link interference free performance, network exchange interference free performance, signal transacting interference free performance, safety of physical layer transmission performance.
In above-mentioned arbitrary technical scheme preferably, the evaluation index that described wireless communications environment interference free performance is corresponding comprises path loss, multipath fading, co-channel interference ratio.
In above-mentioned arbitrary technical scheme preferably, the evaluation index that described spread spectrum interference free performance is corresponding comprises spreading factor, apread spectrum bandwidth, jamming margin, processing gain, lock in time.
In above-mentioned arbitrary technical scheme preferably, the evaluation index that described Antenna Anti-jamming performance is corresponding comprises antenna pattern, bay quantity, antenna gain, antenna lobe width.
In above-mentioned arbitrary technical scheme preferably, the evaluation index that described link interference free performance is corresponding comprises link interference tolerance limit.
In above-mentioned arbitrary technical scheme preferably, the evaluation index that described network exchange interference free performance is corresponding comprises service capacity, route handoff time delay, routing cost, network average throughput, congestion ratio.
In above-mentioned arbitrary technical scheme preferably, the evaluation index that described signal transacting interference free performance is corresponding comprises processing forward ability, coding gain, signal regeneration ability.
In above-mentioned arbitrary technical scheme preferably, the evaluation index that described safety of physical layer transmission performance is corresponding comprises secrecy capacity, secret outage probability, secret speed.
In above-mentioned arbitrary technical scheme preferably, two-level synthetic fuzzy evaluation model is adopted to carry out Comprehensive Evaluation to the radio communication electromagnetism interference Performance Evaluation index system set up.
In above-mentioned arbitrary technical scheme preferably, to the radio communication electromagnetism interference Performance Evaluation index system set up, using the properties of evaluation index system as the first level factor, using the index corresponding to each performance as the second level factor, then set up two pole assessment models of radio communication electromagnetism interference Performance Evaluation.
In above-mentioned arbitrary technical scheme preferably, this appraisal procedure specifically comprises the steps:
Step 1, determines set of factors;
Step 2, selects Comment gathers;
Step 3, selects second level fuzzy comprehensive evoluation weight sets;
Step 4, sets up single factor judgment matrix;
Step 5, calculates the result of second level fuzzy comprehensive evoluation;
Step 6, selects first order fuzzy comprehensive evoluation weight sets;
Step 7, calculates the result of first order fuzzy comprehensive evoluation;
Step 8, draws final assessment result.
In above-mentioned arbitrary technical scheme preferably, in step 1, determine that set of factors comprises determine the first level factor collection and determine the second level factor level; Determine that the first level factor collection is for { environment interference free performance, spread spectrum interference free performance, Antenna Anti-jamming performance, link interference free performance, network exchange interference free performance, signal transacting interference free performance, safety of physical layer transmission performance }, is designated as: U={U
1, U
2, U
3, U
4, U
5, U
6, U
7, wherein: U
1---environment interference free performance; U
2---spread spectrum interference free performance; U
3---Antenna Anti-jamming performance; U
4---link interference free performance; U
5---network exchange interference free performance; U
6---signal transacting interference free performance; U
7---safety of physical layer transmission performance; Determine that the second level factor level is the subset of the first level factor level, that is: U
1={ u
11, u
12, u
13, U
2={ u
21, u
22, u
23, u
24, u
25, U
3={ u
31, u
32, u
33, u
34, U
4={ u
41, U
5={ u
51, u
52, u
53, u
54, u
55, U
6={ u
61, u
62, u
63, U
7={ u
71, u
72, u
73, wherein: u
11---path loss; u
12---multipath fading; u
13---co-channel interference ratio; u
21---spreading factor; u
22---apread spectrum bandwidth; u
23---jamming margin; u
24---processing gain; u
25---lock in time; u
31---antenna pattern; u
32---bay quantity; u
33---antenna gain; u
34---antenna lobe width; u
41---link interference tolerance limit; u
51---service capacity; u
52---route handoff time delay; u
53---routing cost; u
54---network average throughput; u
55---congestion ratio; u
61---processing forward ability; u
62---coding gain; u
63---signal regeneration ability; u
71---secrecy capacity; u
72---secret outage probability; u
73---secret speed.
In above-mentioned arbitrary technical scheme preferably, in step 2, select Comment gathers to be { outstanding, good, in, qualified, defective }, be designated as: V={v
1, v
2, v
3, v
4, v
5; For making the good and bad degree of Comprehensive Evaluation result be easier to difference, need determine opinion rating weighing vector, select centesimal system, that is: 100-90 is outstanding, and 89-80 be well, and during 79-70 is, 69-60 is qualified, and less than 59 is defective; Get median and obtain opinion rating weighing vector: V={95,85,75,65,30}.
In above-mentioned arbitrary technical scheme preferably, in step 3, second level fuzzy comprehensive evoluation weight sets is selected, if U
1, U
2, U
3, U
4, U
5, U
6, U
7weight sets be respectively: A
1={ a
11, a
12, a
13, A
2={ a
21, a
22, a
23, a
24, a
25, A
3={ a
31, a
32, a
33, a
34, A
4={ a
41, A
5={ a
51, a
52, a
53, a
54, a
55, A
6={ a
61, a
62, a
63, A
7={ a
71, a
72, a
73, and have:
In above-mentioned arbitrary technical scheme preferably, in step 4, single factor judgment matrix is set up:
In above-mentioned arbitrary technical scheme preferably, in steps of 5, according to the Comprehensive Evaluation weight level of each the first level factor and the Judgement Matrix of each factor, can obtain Secondary Fuzzy Comprehensive Evaluation result is:
B
1＝A
1оR
1＝(b
11,b
12,b
13,b
14,b
15)
B
2＝A
2оR
2＝(b
21,b
22,b
23,b
24,b
25)
B
3＝A
3оR
3＝(b
31,b
32,b
33,b
34,b
35)
B
4＝A
4оR
4＝(b
41,b
42,b
43,b
44,b
45)
B
5＝A
5оR
5＝(b
51,b
52,b
53,b
54,b
55)
B
6＝A
6оR
6＝(b
61,b
62,b
63,b
64,b
65)
B
7＝A
7оR
7＝(b
71,b
72,b
73,b
74,b
75)
Wherein, o is fuzzy operator, has multiple operator optional, selects here
In above-mentioned arbitrary technical scheme preferably, in step 6, select first order fuzzy comprehensive evoluation weight sets, weight sets is provided to element in U: A={a
1, a
2, a
3, a
4, a
5, a
6, a
7,
In above-mentioned arbitrary technical scheme preferably, in step 7, carry out first order fuzzy comprehensive evoluation, the single factor judgment matrix that the result utilizing the second level to pass judgment on forms first order fuzzy comprehensive evoluation is as follows:
Then first order Result of Fuzzy Comprehensive Evaluation is: B=A o R=(b
1, b
2, b
3, b
4, b
5).
In above-mentioned arbitrary technical scheme preferably, in step 8, B is converted into centesimal system and can obtains final comprehensive evaluation result Z:Z=BV
t.
Wireless communication system electromagnetism interference performance estimating method of the present invention can the electromagnetism interference performance of concentrated expression wireless communication system, this appraisal procedure can obtain the concrete numerical value of each evaluation index according to various assessment test and experimental technique when concrete use, and using each index as single evaluation criterion, define its evaluation criterion, according to the result of correlation analysis and data processing, determine subordinate function and the degree of membership of each factor index, and then obtain Judgement Matrix, then analytical hierarchy process is utilized to obtain the weight sets of each factor, method and step above can be utilized to assess, obtain assessment result.
Accompanying drawing explanation
Fig. 1 is the appraisal procedure schematic block diagram of the preferred embodiment according to wireless communication system electromagnetism interference performance estimating method of the present invention;
Fig. 2 is the radio communication electromagnetism interference Performance Evaluation index system schematic block diagram of the preferred embodiment according to wireless communication system electromagnetism interference performance estimating method of the present invention;
Fig. 3 is the wireless communication system electromagnetism interference performance secondary evaluation model schematic block diagram of the preferred embodiment according to wireless communication system electromagnetism interference performance estimating method of the present invention;
Fig. 4 is the concrete appraisal procedure schematic block diagram of the appraisal procedure of a preferred embodiment according to wireless communication system electromagnetism interference performance estimating method of the present invention.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is elaborated, below describe only exemplarily and explain, any pro forma restriction is not done to the present invention.
In order to the electromagnetism interference performance of concentrated expression wireless communication system, as shown in Figure 1, a kind of wireless communication system electromagnetism interference performance estimating method is proposed: first, by considering wireless communications environment, conventional antijamming measure (comprising spread spectrum, the selection of antenna and signal handling capacity), consider concrete link and network exchange interference free performance and safety of physical layer transmission performance simultaneously, set up radio communication electromagnetism interference Performance Evaluation index system; Then, build one be applicable to wireless communication system electromagnetism interference Performance Evaluation, reasonably, quantification, general assessment models, set up the relation between each evaluation index and wireless communication system electromagnetism interference overall performance by assessment models, finally realize the comprehensive assessment result drawing antiinterference performance according to each evaluation index.
Because wireless channel is all open to all wireless devices, various electronic equipment and wireless communication system coexist in wherein, and radio signal propagation path dependent options is complicated, not only there is the path loss in line-of-sight propagation, also can face the geographical environment of various complexity, as hills, mountain region or architecture ensemble etc., therefore, when wireless signal arrives receiving end, have passed through channel distortions, and superposed various interference.In telecommunication process, wireless signal is through the impact such as path loss and multipath fading, very faint when reaching receiving end, and except the shadow fading of path loss and tall and big object, multipath effect is one of principal element affecting performance for wireless communications.When condition of multi-system coexistence, co-channel interference is another principal element affecting performance for wireless communications.In addition, in Military Application field, electromagnetic interference (EMI) for wireless communication system mainly contains suppress interfere, Deceiving interference and smart munition three major types, in order to resist these electromagnetic interference (EMI), the technological means of the electromagnetism interference that wireless communication system adopts has spread spectrum, high-frequency adaptation Anti-Jamming Technique, multi-beam antenna technology etc.Therefore, as the step 1 of this appraisal procedure, for embodying the electromagnetism interference performance of wireless communication system, consider wireless communications environment, conventional antijamming measure, comprises spread spectrum, the selection of antenna and signal handling capacity, consider concrete link and network exchange interference free performance and safety of physical layer transmission performance simultaneously, set up radio communication electromagnetism interference Performance Evaluation index system, this evaluation index system as shown in Figure 2, it has three levels, and the electromagnetism interference performance of wireless communication system includes wireless communications environment interference free performance, spread spectrum interference free performance, Antenna Anti-jamming performance, link interference free performance, network exchange interference free performance, signal transacting interference free performance, safety of physical layer transmission performance, wherein, the evaluation index that wireless communications environment interference free performance is corresponding comprises path loss, multipath fading, co-channel interference ratio, the evaluation index that spread spectrum interference free performance is corresponding comprises spreading factor, apread spectrum bandwidth, jamming margin, processing gain, lock in time, evaluation index corresponding to Antenna Anti-jamming performance comprises antenna pattern, bay quantity, antenna gain, antenna lobe width, the evaluation index that link interference free performance is corresponding comprises link interference tolerance limit, and the evaluation index that network exchange interference free performance is corresponding comprises service capacity, route handoff time delay, routing cost, network average throughput, congestion ratio, the evaluation index that signal transacting interference free performance is corresponding comprises processing forward ability, coding gain, signal regeneration ability, evaluation index corresponding to safety of physical layer transmission performance comprises secrecy capacity, secret outage probability, secret speed.
What reflect due to each index is the electromagnetism interference effect of certain aspect of wireless communication system, can not represent the overall electromagnetism interference performance of wireless communication system, needs the comprehensive result of a unitized result reflection interference free performance.Therefore, as the step 2 of this appraisal procedure, structure one is needed to be applicable to wireless communication system electromagnetism interference Performance Evaluation, rational, quantification, general assessment models, set up the relation between each evaluation index and electromagnetism interference overall performance by this model, thus the comprehensive assessment result of wireless communication system electromagnetism interference performance can be drawn according to each evaluation index.
Because the radio communication electromagnetism interference Performance Evaluation index system set up has three layers, two-level synthetic fuzzy evaluation model is adopted to carry out Comprehensive Evaluation to it here.Field Using Fuzzy Comprehensive Assessment application fuzzy set theory carries out total evaluation to the things of various factors, this method is by judging the analysis of influential system performance each side factor, determine assessment item and opinion scale, set up subordinated-degree matrix, calculating Comprehensive Assessment vector, finally obtains final evaluation result.
According to radio communication electromagnetism interference Performance Evaluation index system as shown in Figure 2, using wireless communications environment interference free performance, spread spectrum interference free performance, Antenna Anti-jamming performance, link interference free performance, network exchange interference free performance, signal transacting interference free performance, safety of physical layer transmission performance as the first level factor, index corresponding to each performance as the second level factor, then can set up two pole assessment models of radio communication electromagnetism interference Performance Evaluation as shown in Figure 3.
As shown in Figure 4, appraisal procedure is as follows particularly:
(1) set of factors is determined
Determine that the first level factor collection is for { environment interference free performance, spread spectrum interference free performance, Antenna Anti-jamming performance, link interference free performance, network exchange interference free performance, signal transacting interference free performance, safety of physical layer transmission performance }, is designated as:
U＝{U
1,U
2,U
3,U
4,U
5,U
6,U
7}
(1)
Wherein: U
1---environment interference free performance; U
2---spread spectrum interference free performance; U
3---Antenna Anti-jamming performance; U
4---link interference free performance; U
5---network exchange interference free performance; U
6---signal transacting interference free performance; U
7---safety of physical layer transmission performance.
Determine that the second level factor level is the subset of the first level factor level, namely
U
1＝{u
11,u
12,u
13}，U
2＝{u
21,u
22,u
23,u
24,u
25}，U
3＝{u
31,u
32,u
33,u
34}，U
4＝{u
41}，U
5＝{u
51,u
52,u
53,u
54,u
55}，U
6＝{u
61,u
62,u
63}，U
7＝{u
71,u
72,u
73}
(2)
Wherein: u
11---path loss; u
12---multipath fading; u
13---co-channel interference ratio; u
21---spreading factor; u
22---apread spectrum bandwidth; u
23---jamming margin; u
24---processing gain; u
25---lock in time; u
31---antenna pattern; u
32---bay quantity; u
33---antenna gain; u
34---antenna lobe width; u
41---link interference tolerance limit; u
51---service capacity; u
52---route handoff time delay; u
53---routing cost; u
54---network average throughput; u
55---congestion ratio; u
61---processing forward ability; u
62---coding gain; u
63---signal regeneration ability; u
71---secrecy capacity; u
72---secret outage probability; u
73---secret speed.
(2) Comment gathers is selected
Select Comment gathers to be { outstanding, good, in, qualified, defective }, be designated as:
V＝{v
1,v
2,v
3,v
4,v
5} (3)
For making the good and bad degree of Comprehensive Evaluation result be easier to difference, opinion rating weighing vector need be determined.Select centesimal system, that is: 100-90 is outstanding, and 89-80 is good, and during 79-70 is, 69-60 is qualified, and less than 59 is defective.Get median and obtain opinion rating weighing vector:
V＝{95,85,75,65,30}
(4)
(3) second level fuzzy comprehensive evoluation weight sets is selected
If U
1, U
2, U
3, U
4, U
5, U
6, U
7weight sets be respectively:
A
1＝{a
11,a
12,a
13}，A
2＝{a
21,a
22,a
23,a
24,a
25}，A
3＝{a
31,a
32,a
33,a
34}，
A
4＝{a
41}，A
5＝{a
51,a
52,a
53,a
54,a
55}，A
6＝{a
61,a
62,a
63}，A
7＝{a
71,a
72,a
73}
(5)
And have:
(4) single factor judgment matrix is set up:
(5) result of second level fuzzy comprehensive evoluation is calculated
According to the Comprehensive Evaluation weight level of each the first level factor and the Judgement Matrix of each factor, can obtain Secondary Fuzzy Comprehensive Evaluation result is:
B
1＝A
1оR
1＝(b
11,b
12,b
13,b
14,b
15)
B
2＝A
2оR
2＝(b
21,b
22,b
23,b
24,b
25)
B
3＝A
3оR
3＝(b
31,b
32,b
33,b
34,b
35)
B
4＝A
4оR
4＝(b
41,b
42,b
43,b
44,b
45)
B
5＝A
5оR
5＝(b
51,b
52,b
53,b
54,b
55)
B
6＝A
6оR
6＝(b
61,b
62,b
63,b
64,b
65)
B
7＝A
7оR
7＝(b
71,b
72,b
73,b
74,b
75)
Wherein, o is fuzzy operator, has multiple operator optional, as
m (,+) etc., select different operator according to different situations, select here
(6) first order fuzzy comprehensive evoluation weight sets is selected
Weight sets is provided to element in U:
A＝{a
1,a
2,a
3,a
4,a
5,a
6,a
7}，
(7) first order fuzzy comprehensive evoluation
The single factor judgment matrix that the result utilizing the second level to pass judgment on forms first order fuzzy comprehensive evoluation is as follows:
Then first order Result of Fuzzy Comprehensive Evaluation is:
B＝AоR＝(b
1,b
2,b
3,b
4,b
5)
(8) final assessment result
B is converted into centesimal system final comprehensive evaluation result Z:
Z＝BV
T
This wireless communication system electromagnetism interference performance estimating method is when specifically using, the concrete numerical value of each evaluation index can be obtained according to various assessment test and experimental technique, and using each index as single evaluation criterion, define its evaluation criterion, according to the result of correlation analysis and data processing, determine subordinate function and the degree of membership of each factor index, and then obtain Judgement Matrix, then analytical hierarchy process is utilized to obtain the weight sets of each factor, method and step above can be utilized to assess, obtain assessment result.
The above is only be described the preferred embodiment of the present invention; not that scope of the present invention is limited; under not departing from the present invention and designing the prerequisite of spirit; the various distortion that the common engineering technical personnel in this area make technical scheme of the present invention and improvement, all should fall in protection domain that claims of the present invention determine.
Claims (10)
1. a wireless communication system electromagnetism interference performance estimating method, it is characterized in that: first, by considering wireless communications environment, conventional antijamming measure, consider concrete link and network exchange interference free performance and safety of physical layer transmission performance simultaneously, set up radio communication electromagnetism interference Performance Evaluation index system; Then, build one and be applicable to wireless communication system electromagnetism interference Performance Evaluation Model, set up the relation between each evaluation index and wireless communication system electromagnetism interference overall performance by assessment models, finally realize the comprehensive assessment result drawing antiinterference performance according to each evaluation index.
2. wireless communication system electromagnetism interference performance estimating method as claimed in claim 1, is characterized in that: described in consider wireless communications environment, conventional antijamming measure comprises spread spectrum, the selection of antenna and signal handling capacity.
3. wireless communication system electromagnetism interference performance estimating method as claimed in claim 1, is characterized in that: the radio communication electromagnetism interference Performance Evaluation index system of described foundation comprises these three levels of system synthesis system, system properties and the index corresponding to each performance.
4. wireless communication system electromagnetism interference performance estimating method as claimed in claim 3, is characterized in that: the properties of described radio communication electromagnetism interference Performance Evaluation index system comprises wireless communications environment interference free performance, spread spectrum interference free performance, Antenna Anti-jamming performance, link interference free performance, network exchange interference free performance, signal transacting interference free performance, safety of physical layer transmission performance.
5. wireless communication system electromagnetism interference performance estimating method as claimed in claim 4, is characterized in that: the evaluation index that described wireless communications environment interference free performance is corresponding comprises path loss, multipath fading, co-channel interference ratio.
6. wireless communication system electromagnetism interference performance estimating method as claimed in claim 4, is characterized in that: the evaluation index that described spread spectrum interference free performance is corresponding comprises spreading factor, apread spectrum bandwidth, jamming margin, processing gain, lock in time.
7. wireless communication system electromagnetism interference performance estimating method as claimed in claim 4, is characterized in that: evaluation index corresponding to described Antenna Anti-jamming performance comprises antenna pattern, bay quantity, antenna gain, antenna lobe width.
8. wireless communication system electromagnetism interference performance estimating method as claimed in claim 4, is characterized in that: the evaluation index that described link interference free performance is corresponding comprises link interference tolerance limit.
9. wireless communication system electromagnetism interference performance estimating method as claimed in claim 4, is characterized in that: the evaluation index that described network exchange interference free performance is corresponding comprises service capacity, route handoff time delay, routing cost, network average throughput, congestion ratio.
10. wireless communication system electromagnetism interference performance estimating method as claimed in claim 4, is characterized in that: the evaluation index that described signal transacting interference free performance is corresponding comprises processing forward ability, coding gain, signal regeneration ability.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105468833A (en) * | 2015-11-19 | 2016-04-06 | 上海无线电设备研究所 | Electromagnetic environment analog simulation system of radio fuse |
| CN110912626A (en) * | 2019-10-31 | 2020-03-24 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | Method for evaluating communication anti-interference performance of measurement and control system |
| CN111030770A (en) * | 2019-12-23 | 2020-04-17 | 湘潭大学 | Electromagnetic radiation prediction method for mountain area base station |
| CN111337956A (en) * | 2020-03-16 | 2020-06-26 | 北京工业大学 | Method and device for comprehensively evaluating performance of navigation receiver |
| CN112788627A (en) * | 2020-12-28 | 2021-05-11 | 中国人民解放军63861部队 | Method and device for evaluating comprehensive anti-interference performance of point-to-point communication system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103439716A (en) * | 2013-08-21 | 2013-12-11 | 电子科技大学 | Method for constructing GNSS receiver anti-interference evaluation index system |
| CN104239712A (en) * | 2014-09-05 | 2014-12-24 | 电子科技大学 | Real-time evaluation method for anti-interference performance of radar |
| CN104598739A (en) * | 2015-01-26 | 2015-05-06 | 西安电子科技大学 | Index system constructing method for overall efficiency of network |
-
2015
- 2015-07-23 CN CN201510436983.8A patent/CN104965959A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103439716A (en) * | 2013-08-21 | 2013-12-11 | 电子科技大学 | Method for constructing GNSS receiver anti-interference evaluation index system |
| CN104239712A (en) * | 2014-09-05 | 2014-12-24 | 电子科技大学 | Real-time evaluation method for anti-interference performance of radar |
| CN104598739A (en) * | 2015-01-26 | 2015-05-06 | 西安电子科技大学 | Index system constructing method for overall efficiency of network |
Non-Patent Citations (1)
| Title |
|---|
| 杨丽春: "通信抗干扰技术的综合优化及评价研究", 《中国优秀硕士学位论文全文数据库》 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105468833A (en) * | 2015-11-19 | 2016-04-06 | 上海无线电设备研究所 | Electromagnetic environment analog simulation system of radio fuse |
| CN105468833B (en) * | 2015-11-19 | 2018-09-28 | 上海无线电设备研究所 | Electronic fuse electromagnetic environment simulation system |
| CN110912626A (en) * | 2019-10-31 | 2020-03-24 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | Method for evaluating communication anti-interference performance of measurement and control system |
| CN110912626B (en) * | 2019-10-31 | 2022-04-12 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | Method for evaluating communication anti-interference performance of measurement and control system |
| CN111030770A (en) * | 2019-12-23 | 2020-04-17 | 湘潭大学 | Electromagnetic radiation prediction method for mountain area base station |
| CN111030770B (en) * | 2019-12-23 | 2022-02-11 | 湘潭大学 | Electromagnetic radiation prediction method for mountain area base station |
| CN111337956A (en) * | 2020-03-16 | 2020-06-26 | 北京工业大学 | Method and device for comprehensively evaluating performance of navigation receiver |
| CN112788627A (en) * | 2020-12-28 | 2021-05-11 | 中国人民解放军63861部队 | Method and device for evaluating comprehensive anti-interference performance of point-to-point communication system |
| CN112788627B (en) * | 2020-12-28 | 2022-09-02 | 中国人民解放军63861部队 | Method and device for evaluating comprehensive anti-interference performance of point-to-point communication system |
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