發(fā)布時(shí)間：2018-06-17 09:00

  本文選題：目標(biāo)跟蹤 + 輻射功率�。� 參考：《江蘇科技大學(xué)》2017年碩士論文

【摘要】：面對日益復(fù)雜的戰(zhàn)場環(huán)境,傳統(tǒng)雷達(dá)無法適應(yīng)目標(biāo)環(huán)境的變化。相控陣?yán)走_(dá)具有多任務(wù)、多功能特性,其利用天線波束靈活改變的特點(diǎn),使得雷達(dá)每秒可以產(chǎn)生幾百個(gè)波束。在保證目標(biāo)跟蹤性能的前提下,對相控陣?yán)走_(dá)資源合理地管理,能夠降低雷達(dá)的輻射能量,減少雷達(dá)的損耗,從而進(jìn)一步地提高雷達(dá)工作性能。本文圍繞相控陣?yán)走_(dá)目標(biāo)跟蹤時(shí)的輻射功率控制開展研究,主要工作如下:1.通過分析相控陣?yán)走_(dá)輻射功率與射頻隱身性能的關(guān)系,基于交互多模型算法(Interaction multiple model,IMM)提出了目標(biāo)跟蹤時(shí)的分級功率控制方法。采用分級的輻射功率對相控陣?yán)走_(dá)工作參數(shù)進(jìn)行控制,基于信噪比、測量噪聲協(xié)方差的克拉美羅下界和輻射功率三者之間的關(guān)系,自適應(yīng)設(shè)計(jì)了下一時(shí)刻的輻射功率,提高了雷達(dá)系統(tǒng)的射頻隱身性能。2.研究了多目標(biāo)跟蹤時(shí)的功率自適應(yīng)控制方法。在雜波環(huán)境下,基于交互多模型數(shù)據(jù)關(guān)聯(lián)算法(Interacting multiple model probability data association,IMMPDA),依據(jù)目標(biāo)特征對雷達(dá)輻射功率進(jìn)行自適應(yīng)設(shè)計(jì),利用預(yù)測目標(biāo)的距離和目標(biāo)的雷達(dá)截面積(Radar Cross section,RCS)的值設(shè)計(jì)下一時(shí)刻的輻射功率。仿真分析驗(yàn)證了文中所提算法的有效性,算法不僅具有較好的跟蹤性能,而且降低了雷達(dá)的輻射能量。3.針對多目標(biāo)跟蹤時(shí)雷達(dá)資源不足的問題,在IMM跟蹤算法的基礎(chǔ)上,提出了一種多雷達(dá)對多目標(biāo)跟蹤時(shí)的分配方法。根據(jù)目標(biāo)優(yōu)先級的不同和目標(biāo)距離的遠(yuǎn)近,在滿足一定跟蹤精度的情況下,完成了多部雷達(dá)跟蹤任務(wù)的分配,同時(shí),對于位于同一波束內(nèi)的目標(biāo),采用聯(lián)合概率數(shù)據(jù)互聯(lián)算法(Joint Probabilistic Data Association,JPDA)進(jìn)行跟蹤。仿真結(jié)果表明算法可以將雷達(dá)資源進(jìn)行合理地分配。
[Abstract]:In the face of increasingly complex battlefield environment, traditional radar can not adapt to the change of target environment. Phased array radar has the characteristics of multitask and multi-function. It makes use of the flexible change of antenna beam to make radar produce hundreds of beams per second. On the premise of ensuring the target tracking performance, the reasonable management of phased array radar resources can reduce the radar radiation energy, reduce radar loss, and further improve the performance of radar. This paper focuses on the radiation power control of phased array radar target tracking, the main work is as follows: 1. By analyzing the relationship between radiation power of phased array radar and radio frequency stealth performance, a hierarchical power control method for target tracking is proposed based on interaction multiple model. The working parameters of phased array radar are controlled by hierarchical radiation power. Based on the relation of signal-to-noise ratio (SNR), Clamero lower bound of noise covariance measurement and radiation power, the radiation power at the next moment is designed adaptively. The radio frequency stealthy performance of radar system is improved. The power adaptive control method for multi-target tracking is studied. In the clutter environment, the interacting multiple model probability data association algorithm is used to design the radar radiation power adaptively according to the target characteristics, based on the interactive multi-model data association algorithm. The radiation power at the next moment is designed by using the values of the range of the target and the radar cross section of the target. Simulation results verify the effectiveness of the proposed algorithm, which not only has good tracking performance, but also reduces the radiation energy of radar. Aiming at the shortage of radar resources in multi-target tracking, this paper proposes an allocation method for multi-target tracking based on imm tracking algorithm. According to the different priority of the target and the distance of the target, the assignment of multiple radar tracking tasks is completed under certain tracking precision. At the same time, for the target in the same beam, A joint probabilistic data association algorithm named Joint probabilistic data Association JPDAA is used for tracking. Simulation results show that the algorithm can allocate radar resources reasonably.
【學(xué)位授予單位】：江蘇科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN958

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本文編號：2030483