CN104965959A - Assessment method for anti-electromagnetic interference performance of wireless communication system - Google Patents

Abstract

The invention discloses a method for evaluating the anti-electromagnetic interference performance of a wireless communication system. First, by comprehensively considering the wireless communication environment, commonly used anti-interference means, and at the same time considering the specific link and network exchange anti-interference performance and physical layer security transmission performance, the method is established. The evaluation index system of wireless communication anti-electromagnetic interference performance, and then constructs an evaluation model suitable for wireless communication system anti-electromagnetic interference performance, through which the relationship between each evaluation index and the overall performance of wireless communication system anti-electromagnetic interference is established, and finally realized according to each evaluation The index obtains the comprehensive evaluation result of the anti-jamming performance of the fuze. The evaluation method can comprehensively reflect the anti-electromagnetic interference performance of the wireless communication system. The specific evaluation steps include determining the factor set, selecting the comment set, selecting the second-level fuzzy comprehensive evaluation weight set, establishing a single-factor evaluation matrix, and calculating the second-level fuzzy comprehensive evaluation. Judging the result, selecting the weight set of the first-level fuzzy comprehensive evaluation, calculating the result of the first-level fuzzy comprehensive evaluation, and obtaining the final evaluation result.

Description

A method for evaluating the anti-electromagnetic interference performance of a wireless communication system

technical field

The invention relates to the technical field of wireless communication, in particular to a method for evaluating the anti-electromagnetic interference performance of a wireless communication system.

Background technique

With the continuous expansion of the application range of wireless communication, some wireless communication applications under extreme communication conditions have been integrated into people's daily life, such as satellite navigation, satellite communication and deep space communication. At the same time, as the scale of wireless communication gradually expands and the number of users continues to increase, the structure of wireless communication networks becomes increasingly complex and frequency resources become less and less. However, due to the limited transmission power of the wireless communication system, the long distance of signal propagation, and the poor channel environment, the signal at the receiving end is very weak, the signal-to-noise ratio is extremely low, and it is susceptible to various interferences from various aspects, which seriously affects the communication quality. Electromagnetic interference is the main interference faced by wireless communication systems, so the performance of wireless communication systems against electromagnetic interference is an important factor in evaluating the performance of wireless communication systems. Moreover, with the increasingly fierce struggle between electromagnetic interference and anti-interference, people have higher and higher requirements for the anti-electromagnetic interference performance of wireless communication systems, and how to evaluate the anti-electromagnetic interference capabilities of wireless communication systems objectively, accurately and quantitatively is a key issue for wireless communication systems. An important subject in the field of communication technology, it plays an important role in the design, development and use of wireless communication systems. However, because there are many electromagnetic interference factors that affect the wireless communication system, most of the indicators and parameters that reflect the system's anti-electromagnetic interference ability reflect the performance of the system in a specific aspect, and cannot comprehensively reflect the anti-electromagnetic interference performance of the system. There is no complete and effective evaluation index system and method for anti-electromagnetic interference performance of wireless communication systems.

Contents of the invention

Aiming at the technical problems existing in the prior art, the present invention provides a method for evaluating the anti-electromagnetic interference performance of a wireless communication system. First, by comprehensively considering the wireless communication environment, commonly used anti-interference means, and at the same time considering the specific link and network exchange anti-electromagnetic interference Interference performance and physical layer security transmission performance, establish a wireless communication anti-electromagnetic interference performance evaluation index system, and then build a wireless communication system anti-electromagnetic interference performance evaluation model, through the evaluation model to establish each evaluation index and wireless communication system anti-electromagnetic interference overall The relationship between the performance, and finally realize the comprehensive evaluation results of the anti-jamming performance of the fuze based on each evaluation index.

In order to achieve the above object, the present invention adopts the following technical solutions.

A method for evaluating the anti-electromagnetic interference performance of a wireless communication system. First, by comprehensively considering the wireless communication environment, commonly used anti-interference means, and at the same time considering the specific link and network exchange anti-interference performance and physical layer security transmission performance, a wireless communication anti-interference performance is established. Electromagnetic interference performance evaluation index system; then, construct an evaluation model suitable for wireless communication system anti-electromagnetic interference performance, establish the relationship between each evaluation index and the overall performance of wireless communication system anti-electromagnetic interference through the evaluation model, and finally realize the evaluation according to each evaluation index A comprehensive evaluation result of the anti-jamming performance of the fuze is obtained.

Preferably, the wireless communication environment and commonly used anti-jamming means are considered comprehensively, including spread spectrum technology, antenna selection and signal processing capability.

In any of the above technical solutions, it is preferred that the establishment of the wireless communication anti-electromagnetic interference performance evaluation index system includes three levels: system comprehensive system, system performance and the corresponding indexes of each performance.

In any of the above technical solutions, it is preferred that the various performances of the wireless communication anti-electromagnetic interference performance evaluation index system include wireless communication environment anti-interference performance, spread spectrum anti-interference performance, antenna anti-interference performance, link anti-interference performance , Network switching anti-interference performance, signal processing anti-interference performance, physical layer security transmission performance.

In any of the above technical solutions, preferably, the evaluation index corresponding to the anti-interference performance of the wireless communication environment includes path loss, multipath fading, and co-channel interference ratio.

In any of the above technical solutions, preferably, the evaluation index corresponding to the spread spectrum anti-interference performance includes spreading factor, spreading bandwidth, interference tolerance, processing gain, and synchronization time.

In any of the above technical solutions, preferably, the evaluation index corresponding to the anti-interference performance of the antenna includes antenna pattern, number of antenna elements, antenna gain, and antenna lobe width.

In any of the above technical solutions, preferably, the evaluation index corresponding to the link anti-interference performance includes link interference tolerance.

In any of the above technical solutions, preferably, the evaluation index corresponding to the network switching anti-interference performance includes service capacity, route switching delay, route overhead, average network throughput rate, and congestion rate.

In any of the above technical solutions, preferably, the evaluation index corresponding to the signal processing anti-interference performance includes processing forwarding capability, coding gain, and signal regeneration capability.

In any of the above technical solutions, preferably, the evaluation index corresponding to the physical layer secure transmission performance includes confidentiality capacity, confidentiality interruption probability, and confidentiality rate.

In any of the above-mentioned technical solutions, it is preferable to use a two-level fuzzy comprehensive evaluation model for comprehensive evaluation of the established wireless communication anti-electromagnetic interference performance evaluation index system.

In any of the above-mentioned technical solutions, preferably, for the established wireless communication anti-electromagnetic interference performance evaluation index system, each performance of the evaluation index system is used as a first-level factor, and the corresponding indicators of each performance are used as a second-level factor, and then A two-pole evaluation model for evaluating the anti-electromagnetic interference performance of wireless communication is established.

Preferably in any of the above technical solutions, the evaluation method specifically includes the following steps:

Step 1, determine the factor set;

Step 2, select the comment set;

Step 3, select the second-level fuzzy comprehensive evaluation weight set;

Step 4, establishing a single-factor evaluation matrix;

Step 5, calculating the result of the second-level fuzzy comprehensive evaluation;

Step 6, selecting the first-level fuzzy comprehensive evaluation weight set;

Step 7, calculating the result of the first-level fuzzy comprehensive evaluation;

Step 8, get the final evaluation result.

Preferably in any of the above-mentioned technical solutions, in step 1, determining the factor set includes determining the first-level factor set and determining the second-level factor level; determining the first-level factor set is {environmental anti-interference performance, spread spectrum anti-interference performance, Antenna anti-jamming performance, link anti-jamming performance, network switching anti-jamming performance, signal processing anti-jamming performance, physical layer security transmission performance}, denoted as: U＝{U ₁ , U ₂ , U ₃ , U ₄ , U ₅ , U ₆ , U ₇ }, where: U ₁ ——environment anti-jamming performance; U ₂ ——spread spectrum anti-jamming performance; U ₃ ——antenna anti-jamming performance; U ₄ ——link anti-jamming performance; U ₅ ——anti-jamming performance of network exchange; U ₆ ——anti-jamming performance of signal processing; U ₇ ——secure transmission performance of physical layer; determine the second-level factor level as a 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 } , where: u ₁₁ —path loss; u ₁₂ —multipath fading; u ₁₃ —co-channel interference ratio; u ₂₁ —spreading factor; u ₂₂ —spreading bandwidth; u ₂₃ —interference tolerance ; u ₂₄ —— processing gain; u ₂₅ —— synchronization time; u ₃₁ —— antenna pattern; u ₃₂ —— number of antenna elements; u ₃₃ —— antenna gain; u ₃₄ —— antenna lobe width; u ₄₁ — —link interference tolerance; u _{51 ——service} capacity; u ₅₂ ——routing switching delay; u ₅₃ ——routing overhead; u ₅₄ ——network average throughput; u ₅₅ ——congestion rate; u ₆₁ —— Processing forwarding capability; u ₆₂ ——coding gain; u _{63 ——signal} regeneration capability; u ₇₁ ——secrecy capacity; u ₇₂ ——secrecy interruption probability; u ₇₃ ——secrecy rate.

In any of the above technical solutions, preferably, in step 2, select the set of comments as {excellent, good, medium, qualified, unqualified}, recorded as: V={v ₁ , v ₂ , v ₃ , v ₄ ,v ₅ }; In order to make it easier to distinguish the pros and cons of the comprehensive evaluation results, it is necessary to determine the weighted vector of the evaluation grade, using the percentage system, that is: 100-90 is excellent, 89-80 is good, 79-70 is medium, 69- 60 is qualified, below 59 is unqualified; take the median to get the weighted vector of evaluation grade: V={95,85,75,65,30}.

In any of the above technical solutions, preferably, in step 3, the second-level fuzzy comprehensive evaluation weight set is selected, and the weight sets of U ₁ , U ₂ , U ₃ , U ₄ , U ₅ , U ₆ , and U ₇ are set They are: 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:

Preferably in any of the above-mentioned technical solutions, in step 4, a single-factor evaluation matrix is established:

Preferably in any of the above-mentioned technical solutions, in step 5, according to the comprehensive evaluation weight level of each first-level factor and the evaluation matrix of each factor, the second-level fuzzy comprehensive evaluation result can be obtained as:

B ₁ =A ₁ оR ₁ =(b ₁₁ ,b ₁₂ ,b ₁₃ ,b ₁₄ ,b ₁₅ )

B ₂ =A ₂ оR ₂ =(b ₂₁ ,b ₂₂ ,b ₂₃ ,b ₂₄ ,b ₂₅ )

B ₃ =A ₃ оR ₃ =(b ₃₁ ,b ₃₂ ,b ₃₃ ,b ₃₄ ,b ₃₅ )

B ₄ =A ₄ оR ₄ =(b ₄₁ ,b ₄₂ ,b ₄₃ ,b ₄₄ ,b ₄₅ )

B ₅ =A ₅ оR ₅ =(b ₅₁ ,b ₅₂ ,b ₅₃ ,b ₅₄ ,b ₅₅ )

B ₆ =A ₆ оR ₆ =(b ₆₁ ,b ₆₂ ,b ₆₃ ,b ₆₄ ,b ₆₅ )

B ₇ =A ₇ оR ₇ =(b ₇₁ ,b ₇₂ ,b ₇₃ ,b ₇₄ ,b ₇₅ )

Among them, о is a fuzzy operator, there are many kinds of operators to choose from, here we choose

In any of the above technical solutions, preferably, in step 6, the first-level fuzzy comprehensive evaluation weight set is selected, and the weight set is given to the elements in U: A={a ₁ ,a ₂ ,a ₃ ,a ₄ , a ₅ , a ₆ , a ₇ },

Preferably in any of the above-mentioned technical solutions, in step 7, the first-level fuzzy comprehensive evaluation is carried out, and the single-factor evaluation matrix of the first-level fuzzy comprehensive evaluation is formed by using the results of the second-level evaluation as follows:

$\mathrm{<span\; class="notranslate">\; R</span>}<span\; class="notranslate">\; =</span>\left[\begin{array}{c}{\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}\\ {\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}\\ {\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}\\ {\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; 4</span>}}\\ {\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; 5</span>}}\\ {\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; 6</span>}}\\ {\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; 7</span>}}\end{array}\right]<span\; class="notranslate">\; =</span>\left[\begin{array}{ccccc}{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 11</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 12</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 13</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 14</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 15</span>}}\\ {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; twenty\; one</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; twenty\; two</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; twenty\; three</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; twenty\; four</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 25</span>}}\\ {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 31</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 32</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 33</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 34</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 35</span>}}\\ {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 41</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 42</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 43</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 44</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 45</span>}}\\ {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 51</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 52</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 53</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 54</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 55</span>}}\\ {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 61</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 62</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 63</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 64</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 65</span>}}\\ {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 71</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 72</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 73</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 74</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 75</span>}}\end{array}\right]$

Then the result of the first-level fuzzy comprehensive evaluation is: B=AоR=(b ₁ , b ₂ , b ₃ , b ₄ , b ₅ ).

In any of the above technical solutions, preferably, in step 8, the final comprehensive evaluation result Z can be obtained by converting B into a percentage system: Z=BV ^T .

The anti-electromagnetic interference performance evaluation method of the wireless communication system of the present invention can comprehensively reflect the anti-electromagnetic interference performance of the wireless communication system. When the evaluation method is used specifically, the specific values of each evaluation index can be obtained according to various evaluation tests and experimental methods, and the Each index is defined as a single evaluation standard, and the membership function and degree of membership of each factor index are determined according to the results of correlation analysis and data processing, and then the evaluation matrix is obtained, and then the weight set of each factor is obtained by using the analytic hierarchy process. The above methods and steps can be used for evaluation, and the evaluation result can be obtained.

Description of drawings

Fig. 1 is a schematic block diagram of an evaluation method according to a preferred embodiment of the wireless communication system anti-electromagnetic interference performance evaluation method of the present invention;

Fig. 2 is a schematic block diagram of a wireless communication anti-electromagnetic interference performance evaluation index system according to a preferred embodiment of the wireless communication system anti-electromagnetic interference performance evaluation method of the present invention;

3 is a schematic block diagram of a secondary evaluation model of the wireless communication system anti-electromagnetic interference performance according to a preferred embodiment of the method for evaluating the anti-electromagnetic interference performance of the wireless communication system of the present invention;

Fig. 4 is a schematic block diagram of the specific evaluation steps of the evaluation method of a preferred embodiment of the evaluation method for the anti-electromagnetic interference performance of the wireless communication system according to the present invention.

Detailed ways

The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. The following description is only for demonstration and explanation, and does not limit the present invention in any form.

In order to comprehensively reflect the anti-electromagnetic interference performance of the wireless communication system, as shown in Figure 1, a method for evaluating the anti-electromagnetic interference performance of the wireless communication system is proposed. , antenna selection and signal processing capabilities), while considering the specific link and network exchange anti-interference performance and physical layer security transmission performance, establish a wireless communication anti-electromagnetic interference performance evaluation index system; then, construct a wireless communication system anti-interference performance A reasonable, quantitative, and general evaluation model for electromagnetic interference performance evaluation. Through the evaluation model, the relationship between each evaluation index and the overall anti-electromagnetic interference performance of the wireless communication system is established, and finally the fuze anti-interference is obtained based on each evaluation index. Comprehensive evaluation results of performance.

Since the wireless channel is open to all wireless devices, various electronic devices and wireless communication systems coexist in it, and the wireless signal propagation path is extremely complicated, not only the path loss in line-of-sight propagation, but also various complex geographical conditions Environment, such as hills, mountains or urban buildings, etc. Therefore, when the wireless signal reaches the receiving end, it has undergone channel distortion and superimposed various interferences. In the process of long-distance communication, the wireless signal is very weak when it reaches the receiving end after being affected by path loss and multipath fading. In addition to path loss and shadow fading of tall objects, multipath effect is one of the main factors affecting wireless communication performance. . In the case of coexistence of multiple systems, co-channel interference is another major factor affecting wireless communication performance. In addition, in the field of military applications, the electromagnetic interference used in wireless communication systems mainly includes three categories: suppressive interference, deceptive interference, and smart interference. In order to combat these electromagnetic interferences, the technical means of anti-electromagnetic interference There are spread spectrum technology, high frequency adaptive anti-jamming technology, multi-beam antenna technology and so on. Therefore, as in step 1 of this evaluation method, in order to reflect the anti-electromagnetic interference performance of the wireless communication system, the wireless communication environment, commonly used anti-interference methods, including spread spectrum technology, antenna selection and signal processing capabilities, and specific Link and network exchange anti-jamming performance and physical layer security transmission performance, establish the evaluation index system of wireless communication anti-electromagnetic interference performance, the evaluation index system is shown in Figure 2, it has three levels, the anti-electromagnetic interference performance of wireless communication system includes There are wireless communication environment anti-interference performance, spread spectrum anti-interference performance, antenna anti-interference performance, link anti-interference performance, network switching anti-interference performance, signal processing anti-interference performance, physical layer security transmission performance, among them, wireless communication environment anti-interference performance The evaluation indicators corresponding to performance include path loss, multipath fading, co-channel interference ratio, and the evaluation indicators corresponding to spread spectrum anti-interference performance include spreading factor, spreading bandwidth, interference tolerance, processing gain, synchronization time, antenna anti-interference performance The corresponding evaluation indicators include antenna style, number of antenna elements, antenna gain, and antenna lobe width. The evaluation indicators corresponding to link anti-interference performance include link interference tolerance. The corresponding evaluation indicators of network switching anti-interference performance include service capacity, Routing switching delay, routing overhead, network average throughput rate, congestion rate, signal processing anti-interference performance corresponding evaluation indicators include processing forwarding capability, coding gain, signal regeneration capability, physical layer security transmission performance corresponding evaluation indicators include confidentiality capacity, Secrecy interruption probability, secrecy rate.

Since each index reflects the anti-electromagnetic interference effect of a certain aspect of the wireless communication system, it cannot represent the overall anti-electromagnetic interference performance of the wireless communication system. A unified result is required to reflect the comprehensive result of the anti-interference performance. Therefore, as in step 2 of the evaluation method, it is necessary to construct a reasonable, quantitative, and general evaluation model suitable for the evaluation of the anti-electromagnetic interference performance of the wireless communication system, and establish various evaluation indicators and the overall anti-electromagnetic interference performance through this model Therefore, the comprehensive evaluation results of the anti-electromagnetic interference performance of the wireless communication system can be obtained according to each evaluation index.

Since the established wireless communication anti-electromagnetic interference performance evaluation index system has three layers, the second-level fuzzy comprehensive evaluation model is used for comprehensive evaluation. The fuzzy comprehensive evaluation method uses fuzzy set theory to make a general evaluation of things affected by various factors. This method determines the evaluation items and evaluation scales, establishes the membership matrix, and calculates the comprehensive evaluation through the analysis and judgment of various factors affecting system performance. vector, and finally get the final evaluation result.

According to the wireless communication anti-electromagnetic interference performance evaluation index system shown in Figure 2, the wireless communication environment anti-interference performance, spread spectrum anti-interference performance, antenna anti-interference performance, link anti-interference performance, network switching anti-interference performance, signal processing Anti-interference performance and physical layer security transmission performance are taken as the first-level factors, and the indicators corresponding to each performance are taken as the second-level factors. A two-pole evaluation model for wireless communication anti-electromagnetic interference performance evaluation can be established, as shown in Figure 3.

As shown in Figure 4, the specific evaluation steps are as follows:

(1) Determine the factor set

Determine the first-level factor set as {environment anti-jamming performance, spread spectrum anti-jamming performance, antenna anti-jamming performance, link anti-jamming performance, network switching anti-jamming performance, signal processing anti-jamming performance, physical layer security transmission performance}, denoted as :

U＝{U ₁ ,U ₂ ,U ₃ ,U ₄ ,U ₅ ,U ₆ ,U ₇ }

(1)

Among them: U ₁ ——environmental anti-interference performance; U ₂ ——spread spectrum anti-interference performance; U ₃ ——antenna anti-interference performance; U ₄ ——link anti-interference performance; U ₅ ——network exchange anti-interference performance; U ₆ —— signal processing anti-interference performance; U ₇ —— physical layer security transmission performance.

Determine the second-level factor level as a 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 }

(2)

Among them: u ₁₁ —path loss; u ₁₂ —multipath fading; u ₁₃ —co-channel interference ratio; u ₂₁ —spreading factor; u ₂₂ —spreading bandwidth; u ₂₃ —interference tolerance; u ₂₄ - processing gain; u ₂₅ - synchronization time; u ₃₁ - antenna pattern; u ₃₂ - number of antenna elements; u ₃₃ - antenna gain; u ₃₄ - antenna lobe width; u ₄₁ - Link interference tolerance; u ₅₁ - service capacity; u ₅₂ - routing switching delay; u ₅₃ - routing overhead; u ₅₄ - average network throughput; u ₅₅ - congestion rate; u ₆₁ - processing Retransmission capability; u ₆₂ ——coding gain; u _{63 ——signal} regeneration capability; u ₇₁ ——secrecy capacity; u ₇₂ ——secrecy interruption probability; u ₇₃ ——secrecy rate.

(2) Select comment set

Select the comment set as {excellent, good, medium, qualified, unqualified}, recorded as:

V＝{v ₁ ,v ₂ ,v ₃ ,v ₄ ,v ₅ } (3)

In order to make it easier to distinguish the pros and cons of the comprehensive evaluation results, it is necessary to determine the evaluation grade weighting vector. Use the percentage system, namely: 100-90 is excellent, 89-80 is good, 79-70 is medium, 69-60 is qualified, and below 59 is unqualified. Take the median to get the evaluation grade weighted vector:

V={95,85,75,65,30}

(4)

(3) Select the second-level fuzzy comprehensive evaluation weight set

Let the weight sets of U ₁ , U ₂ , U ₃ , U ₄ , U ₅ , U ₆ , and U ₇ be:

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) Establish a single-factor evaluation matrix:

(5) Calculate the result of the second-level fuzzy comprehensive evaluation

According to the comprehensive evaluation weight level of each first-level factor and the evaluation matrix of each factor, the result of the second-level fuzzy comprehensive evaluation can be obtained as follows:

B ₁ =A ₁ оR ₁ =(b ₁₁ ,b ₁₂ ,b ₁₃ ,b ₁₄ ,b ₁₅ )

B ₂ =A ₂ оR ₂ =(b ₂₁ ,b ₂₂ ,b ₂₃ ,b ₂₄ ,b ₂₅ )

B ₃ =A ₃ оR ₃ =(b ₃₁ ,b ₃₂ ,b ₃₃ ,b ₃₄ ,b ₃₅ )

B ₄ =A ₄ оR ₄ =(b ₄₁ ,b ₄₂ ,b ₄₃ ,b ₄₄ ,b ₄₅ )

B ₅ =A ₅ оR ₅ =(b ₅₁ ,b ₅₂ ,b ₅₃ ,b ₅₄ ,b ₅₅ )

B ₆ =A ₆ оR ₆ =(b ₆₁ ,b ₆₂ ,b ₆₃ ,b ₆₄ ,b ₆₅ )

B ₇ =A ₇ оR ₇ =(b ₇₁ ,b ₇₂ ,b ₇₃ ,b ₇₄ ,b ₇₅ )

Among them, о is a fuzzy operator, and there are many operators to choose from, such as M(·,+), etc., choose different operators according to different situations, here we choose

(6) Select the first-level fuzzy comprehensive evaluation weight set

Give weight sets for elements in U:

A={a ₁ ,a ₂ ,a ₃ ,a ₄ ,a ₅ ,a ₆ ,a ₇ },

(7) The first level of fuzzy comprehensive evaluation

Using the results of the second-level evaluation to form the single-factor evaluation matrix of the first-level fuzzy comprehensive evaluation is as follows:

$\mathrm{<span\; class="notranslate">\; R</span>}<span\; class="notranslate">\; =</span>\left[\begin{array}{c}{\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}\\ {\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}\\ {\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}\\ {\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; 4</span>}}\\ {\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; 5</span>}}\\ {\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; 6</span>}}\\ {\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; 7</span>}}\end{array}\right]<span\; class="notranslate">\; =</span>\left[\begin{array}{ccccc}{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 11</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 12</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 13</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 14</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 15</span>}}\\ {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; twenty\; one</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; twenty\; two</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; twenty\; three</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; twenty\; four</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 25</span>}}\\ {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 31</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 32</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 33</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 34</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 35</span>}}\\ {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 41</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 42</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 43</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 44</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 45</span>}}\\ {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 51</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 52</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 53</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 54</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 55</span>}}\\ {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 61</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 62</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 63</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 64</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 65</span>}}\\ {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 71</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 72</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 73</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 74</span>}}& {\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 75</span>}}\end{array}\right]$

Then the result of the first-level fuzzy comprehensive evaluation is:

B=AоR=(b ₁ ,b ₂ ,b ₃ ,b ₄ ,b ₅ )

(8) Final evaluation results

The final comprehensive evaluation result Z can be obtained by converting B into a percentage system:

Z=BV ^T

When this wireless communication system anti-electromagnetic interference performance evaluation method is used in practice, the specific values of each evaluation index can be obtained according to various evaluation tests and experimental methods, and each index is used as a single evaluation standard to define its evaluation standard. According to the relevant analysis And the results of data processing, determine the membership function and degree of membership of each factor index, and then obtain the evaluation matrix, and then use the analytic hierarchy process to obtain the weight set of each factor, then use the above methods and steps to evaluate and obtain the evaluation results.

The above description is only a description of the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. On the premise of not departing from the design spirit of the present invention, ordinary engineers and technicians in the field may make various modifications to the technical solution of the present invention. and improvements, all should fall within the scope of protection determined by the claims of the present invention.

Claims (10)

1. A wireless communication system anti-electromagnetic interference performance evaluation method is characterized in that: first, by comprehensively considering the wireless communication environment, commonly used anti-interference means, and simultaneously considering specific links and network exchange anti-interference performance and physical layer security transmission Performance, establish the evaluation index system of wireless communication anti-electromagnetic interference performance; then, construct an evaluation model suitable for wireless communication system anti-electromagnetic interference performance, establish the relationship between each evaluation index and the overall performance of wireless communication system anti-electromagnetic interference through the evaluation model, Finally, the comprehensive evaluation results of the anti-jamming performance of the fuze are obtained according to each evaluation index. 2. The wireless communication system anti-electromagnetic interference performance evaluation method as claimed in claim 1, characterized in that: the comprehensive consideration of the wireless communication environment, the commonly used anti-interference means include spread spectrum technology, antenna selection and signal processing capabilities. 3. The wireless communication system anti-electromagnetic interference performance evaluation method as claimed in claim 1, characterized in that: the established wireless communication anti-electromagnetic interference performance evaluation index system includes system comprehensive system, system performance and each performance corresponding These three levels of indicators. 4. The wireless communication system anti-electromagnetic interference performance evaluation method as claimed in claim 3, characterized in that: the various performances of the wireless communication anti-electromagnetic interference performance evaluation index system include wireless communication environment anti-interference performance, spread spectrum anti-interference Performance, antenna anti-jamming performance, link anti-jamming performance, network switching anti-jamming performance, signal processing anti-jamming performance, physical layer security transmission performance. 5. The method for evaluating anti-electromagnetic interference performance of a wireless communication system according to claim 4, wherein the evaluation indicators corresponding to the anti-interference performance of the wireless communication environment include path loss, multipath fading, and co-channel interference ratio. 6. The wireless communication system anti-electromagnetic interference performance evaluation method as claimed in claim 4, wherein: the evaluation index corresponding to the spread spectrum anti-interference performance includes spreading factor, spread spectrum bandwidth, interference tolerance, processing gain, synchronised time. 7. The method for evaluating the anti-electromagnetic interference performance of a wireless communication system according to claim 4, wherein the evaluation index corresponding to the anti-interference performance of the antenna includes antenna pattern, number of antenna array elements, antenna gain, and antenna lobe width. 8. The method for evaluating anti-electromagnetic interference performance of a wireless communication system according to claim 4, wherein the evaluation index corresponding to the link anti-interference performance includes link interference tolerance. 9. The wireless communication system anti-electromagnetic interference performance evaluation method according to claim 4, wherein the evaluation index corresponding to the network switching anti-interference performance includes service capacity, routing switching delay, routing overhead, and average network throughput , Congestion rate. 10. The method for evaluating anti-electromagnetic interference performance of a wireless communication system according to claim 4, wherein the evaluation index corresponding to the signal processing anti-interference performance includes processing forwarding capability, coding gain, and signal regeneration capability.