發(fā)布時(shí)間：2018-09-18 08:06

【摘要】：在雷達(dá)航跡融合過(guò)程中,采用多傳感器測(cè)量值融合的方法能夠摒除單一信息源不全面的缺點(diǎn).加權(quán)平均融合為廣泛使用的融合方法,但傳統(tǒng)的權(quán)值固定的加權(quán)平均融合雖然能綜合多路傳感器信息,卻無(wú)法自適應(yīng)的根據(jù)測(cè)量值優(yōu)劣倚重更有利的測(cè)量信息.因此,本文提出將固定權(quán)值改進(jìn)為動(dòng)態(tài)權(quán)值的融合方法,實(shí)時(shí)改變各路測(cè)量信息參與融合的權(quán)重.每次融合前,先將多路傳感器測(cè)量值求簡(jiǎn)單算術(shù)平均后進(jìn)行卡爾曼濾波,把濾波后的值與各路測(cè)量值作差,這相當(dāng)于對(duì)傳感器信息的優(yōu)劣作出預(yù)判,每路測(cè)量信息的融合權(quán)值則與該差絕對(duì)值成反比.最后,通過(guò)仿真實(shí)驗(yàn)證明,該改進(jìn)方法較之前的加權(quán)平均融合明顯提高了目標(biāo)的融合精度.
[Abstract]:In the course of radar track fusion, the shortcomings of single information source can be eliminated by using the method of multi-sensor measurement fusion. Weighted average fusion is a widely used fusion method, but the traditional weighted average fusion with fixed weights can integrate multi-sensor information, but it can not adaptively rely on more favorable measurement information according to the measurement value. Therefore, this paper proposes a fusion method in which the fixed weight is improved to the dynamic weight, and the weight of the information involved in the fusion is changed in real time. Before each fusion, the simple arithmetic average of the measurement value of the multi-channel sensor is calculated first, and then the Kalman filter is carried out, and the value of the filter is different from the measured value of each channel, which is equivalent to making a pre-judgement of the information of the sensor. The fusion weight of each measurement information is inversely proportional to the absolute value of the difference. Finally, the simulation results show that the improved method improves the target fusion accuracy obviously compared with the previous weighted average fusion method.
【作者單位】： 四川大學(xué)計(jì)算機(jī)學(xué)院;阿壩師范學(xué)院生化系;
【基金】：國(guó)家空管科研課題(GKG201403001)
【分類(lèi)號(hào)】：TN957.51

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