基于非對稱貼近度的預警雷達情報質量評估

劉仁爭; 田康生; 彭富強; 李浩

doi:10.11999/JEIT180116

基于非對稱貼近度的預警雷達情報質量評估

doi: 10.11999/JEIT180116 cstr: 32379.14.JEIT180116

劉仁爭^{1, 2, ,},
田康生¹,
彭富強¹,
李浩¹

1.
空軍預警學院 ??武漢 ??430019
2.
火箭軍指揮學院 ??武漢 ??430012

詳細信息

作者簡介:
劉仁爭：男，1980年生，博士生，講師，研究方向為雷達資源管理、雷達情報分析

田康生：男，1963年生，教授，博士生導師，主要研究方向為雷達資源管理、數(shù)據(jù)融合

彭富強：男，1982年生，博士，講師，主要研究方向為雷達情報處理、雷達組網(wǎng)

李浩：男，1982年生，博士，講師，主要研究方向為雷達情報分析、數(shù)據(jù)融合

通訊作者:
劉仁爭　35565426@qq.com

中圖分類號: TN956
計量
- 文章訪問數(shù): 1895
- HTML全文瀏覽量: 687
- PDF下載量: 58
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2018-01-26
- 修回日期: 2018-10-16
- 網(wǎng)絡出版日期: 2018-10-22
- 刊出日期: 2019-01-01

Quality Analysis of Early Warning Radar Intelligence Based on Asymmetrical Proximity

1.
Air Force Early Warning Academy, Wuhan 430019, China
2.
Rocket Force Command College, Wuhan 430012, China

摘要

摘要:
針對預警雷達情報質量評估中，模糊因素影響評估有效性的問題，該文提出一種基于非對稱貼近度的預警雷達情報質量分析評估方法。分析預警雷達情報獲取、傳輸和作戰(zhàn)運用環(huán)境特點，從及時性、準確性、完整性、連續(xù)性和客觀性等6個方面構建其質量評估指標體系，進而建立因素集、評語集和權重集，利用非對稱貼近度對其進行模糊綜合評估。該研究方法和結論可有效分析評判預警雷達情報質量，也能幫助發(fā)現(xiàn)影響情報質量優(yōu)劣的瓶頸與短板，還可為解決復雜作戰(zhàn)環(huán)境下預警雷達情報質量評估與分析等問題研究提供一定借鑒。
- 預警雷達 /
- 情報質量 /
- 模糊綜合評判 /
- 非對稱貼近度
Abstract:
Considering the limits of fuzzy comprehensive evaluation on quality of early warning radar intelligence in actual training, a method of quality evaluation on radar intelligence based on the theory of asymmetric proximity and multilevel fuzzy comprehensive evaluation is proposed. Through the analysis of the producing, transmission, using environmental factors of early warning radar intelligence, the evaluating metric of quality evaluation on radar intelligence integrated for six classes, that are timely, accuracy, completeness, continuity, objectiveness and so on, and then factor set, weight set, and comment set are established, and the quality of the radar intelligence based on the asymmetric proximity with the fuzzy comprehensive evaluation is carried out. This researching methods and results not only can take comprehensive evaluations of a certain quality of radar intelligence, help for finding out the factors to determine the quality of the radar intelligence, but also can fight for providing certain reference to solve complex environment of radar intelligence of operational effectiveness evaluation problem.
- Early warning radar /
- Quality of intelligence /
- Fuzzy comprehensive evaluation /
- Asymmetrical proximity

HTML全文

圖 1 預警雷達情報質量模糊綜合評判流程圖

下載: 全尺寸圖片幻燈片

表 1 雷達情報質量評價指標體系

影響因素子集	影響因素
及時性${F_1}$	搜索發(fā)現(xiàn)${F_{11}}$
及時性${F_1}$	報知速度${F_{12}}$
準確性${F_2}$	方位距離誤差${F_{21}}$
	高度誤差${F_{22}}$
	速度誤差${F_{23}}$
	判斷準確性${F_{24}}$
	錯批率${F_{25}}$
	混批率${F_{26}}$
連續(xù)性${F_3}$	報知密度${F_{31}}$
連續(xù)性${F_3}$	航跡漏點率${F_{32}}$
完整性${F_4}$	要素完整率${F_{41}}$
完整性${F_4}$	目標掌握率${F_{42}}$
客觀性${F_5}$	情報要素客觀${F_{51}}$
客觀性${F_5}$	情報來源客觀${F_{52}}$
錯漏壓情${F_6}$	錯情${F_{61}}$
	漏情${F_{62}}$
	壓情${F_{63}}$

下載: 導出CSV

表 2 1～9標度法評價標準

標度	相對比較
1	因素A, B同等重要
2	1, 3標度之間的狀態(tài)
3	A因素比B因素重要一點
4	3, 5標度之間的狀態(tài)
5	A因素比B因素重要較多
6	5, 7標度之間的狀態(tài)
7	A因素比B因素重要很多
8	7, 9標度之間的狀態(tài)
9	A因素比B因素絕對重要

下載: 導出CSV

表 3 影響因素評價結果統(tǒng)計表

	優(yōu)秀	良好	合格	不合格	一般事故	嚴重事故
${F_{11}}$	9	10	8	3	0	0
${F_{12}}$	11	8	9	2	0	0
${F_{21}}$	12	9	7	1	1	0
${F_{22}}$	11	8	9	2	0	0
${F_{23}}$	7	11	9	2	1	0
${F_{24}}$	5	12	11	2	0	0
${F_{25}}$	10	10	10	0	0	0
${F_{26}}$	11	9	8	2	0	0
${F_{31}}$	7	9	11	2	1	0
${F_{32}}$	7	11	11	1	0	0
${F_{41}}$	9	9	11	1	0	0
${F_{42}}$	6	11	10	2	1	0
${F_{51}}$	12	9	9	0	0	0
${F_{52}}$	7	10	10	2	1	0
${F_{61}}$	9	9	11	1	0	0
${F_{62}}$	9	10	11	0	0	0
${F_{63}}$	9	10	10	1	0	0

下載: 導出CSV

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