本文選題：超緊耦合 + 鎖相環(huán)��； 參考：《武漢大學(xué)學(xué)報(信息科學(xué)版)》2017年12期

【摘要】：在噪聲環(huán)境中,運(yùn)動目標(biāo)發(fā)生穩(wěn)態(tài)突變會降低卡爾曼濾波器的濾波性能,進(jìn)而導(dǎo)致組合導(dǎo)航的可靠性降低,導(dǎo)航系統(tǒng)抗干擾能力下降,影響導(dǎo)航的精確度。為了提高卡爾曼濾波器性能,提高抗干擾能力和導(dǎo)航精度,在采用基于卡爾曼濾波器的超緊耦合同時,提出一種新型的基于漸消因子的區(qū)間卡爾曼濾波器算法。該算法通過引入漸消因子和區(qū)間矩陣對濾波器增益矩陣進(jìn)行實(shí)時調(diào)整,并利用區(qū)間運(yùn)算中的交集運(yùn)算將各種誤差源約束到交集區(qū)間,進(jìn)而保證在區(qū)間運(yùn)算中保真集合映射的完備性并取得最優(yōu)化。結(jié)果顯示,該算法能夠克服原有濾波器算法的缺陷,在噪聲環(huán)境中提升對穩(wěn)態(tài)突變目標(biāo)的跟蹤能力,且在噪聲中濾波器效果提高,算法計算量沒有明顯增加。
[Abstract]:In the noise environment, the steady-state abrupt change of moving target will reduce the filtering performance of Kalman filter, which will lead to the decrease of the reliability of integrated navigation and the anti-jamming ability of navigation system, which will affect the accuracy of navigation. In order to improve the performance of Kalman filter and improve the ability of anti-jamming and navigation precision, a new algorithm of interval Kalman filter based on fading factor is proposed by using the ultra-tight coupling based on Kalman filter. The filter gain matrix is adjusted in real time by introducing fading factor and interval matrix, and all kinds of error sources are constrained to the intersection interval by the intersection operation in interval operation. Furthermore, the completeness and optimization of fidelity set mappings in interval operations are ensured. The results show that the algorithm can overcome the defects of the original filter algorithm, improve the tracking ability of the steady state abrupt target in the noise environment, and improve the filter effect in the noise, and the computational complexity of the algorithm is not obviously increased.
【作者單位】： 南京理工大學(xué)電子工程與光電技術(shù)學(xué)院;中國工程物理研究院電子工程研究所;
【基金】：國家自然科學(xué)基金委員會與中國工程物理研究院聯(lián)合基金(U1330133)~~
【分類號】：P228.4
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本文編號：2008555