跳頻周期和跳頻間隔的最大條件熵射頻隱身設計方法
doi: 10.11999/JEIT140892
基金項目:
航空科學基金(20130152002)，上海航天科技創(chuàng)新基金(SAST 201411)，中央高?；究蒲袠I(yè)務費專項資金和江蘇省普通高校研究生科研創(chuàng)新計劃(CXZZ11_0212, NP2015505)資助課題
RF Stealth Design Method for Hopping Cycle and Hopping Interval Based on Conditional Maximum Entropy
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摘要: 為提高跳頻通信系統(tǒng)的被截獲性能，該文以跳頻周期和跳頻間隔為研究對象，提出一種基于最大條件熵的跳頻周期、跳頻間隔射頻隱身聯(lián)合設計方法。該方法以跳頻系統(tǒng)先驗數(shù)據(jù)為樣本空間，以拉格朗日乘子為優(yōu)化粒子，利用混合混沌粒子群優(yōu)化(HCPSO)算法對最大條件熵的對偶規(guī)劃進行優(yōu)化計算。與單閾值方法(STM)和雙閾值方法(DTM)的對比仿真結果表明：該文提出的最大熵方法(MEM)具有最大的跳頻周期、跳頻間隔不確定性和最小的截獲概率，且針對不同威脅因子具有較高的環(huán)境區(qū)分度。因此，MEM具有較好的射頻隱身性能，可以有效提高搭載平臺的生存能力。
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關鍵詞:
- 跳頻通信 /
- 射頻隱身 /
- 跳頻周期 /
- 跳頻間隔 /
- 混合混沌粒子群優(yōu)化算法
Abstract: In order to increase the interception performance of frequency hopping systems, an optimal algorithm for hopping cycle and hopping interval, which is based on the conditional maximum entropy is proposed. The prior data of frequency hopping systems are used as the training sample space, and the Lagrange multipliers are selected as optimized variables. The Hybrid Chaotic Particle Swarm Optimization (HCPSO) algorithm is used for the optimization of the dual programming of the conditional maximum entropy. Compared with the Single Threshold Method (STM) and the Double Threshold Method (DTM), the simulation results show that the proposed Maximum Entropy Method (MEM) not only has the greatest uncertainty of hopping cycle and hopping interval, it also has the lowest probability of intercept and higher environmental differentiation with threat factors. So the MEM has good RF stealth performance and it can effectively improve the survival ability of the platform. -
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