本文選題：系統(tǒng)誤差估計 + 嶺估計�。� 參考：《系統(tǒng)工程與電子技術(shù)》2017年12期

【摘要】：多傳感器系統(tǒng)誤差估計是數(shù)據(jù)融合系統(tǒng)獲得性能優(yōu)勢的關(guān)鍵前提之一。針對病態(tài)場景下傳統(tǒng)系統(tǒng)誤差估計方法數(shù)值不穩(wěn)定的問題,對目標密集型和傳感器密集型兩種典型病態(tài)場景進行了理論分析,提出了多傳感器系統(tǒng)誤差的嶺估計方法,以犧牲估計器無偏性的代價來改善估計結(jié)果的數(shù)值穩(wěn)定性。通過引入條件數(shù)約束,給出了嶺參數(shù)的最優(yōu)取值方法。仿真結(jié)果表明,所提嶺估計器在良態(tài)場景下與傳統(tǒng)最小二乘估計器性能保持一致;在目標密集型場景下,與傳統(tǒng)方法相比有顯著性能優(yōu)勢;在傳感器密集型場景下,對距離系統(tǒng)誤差的估計性能有明顯改善。
[Abstract]:Multi-sensor system error estimation is one of the key prerequisites for data fusion systems to gain performance advantages.In order to solve the problem of numerical instability of traditional system error estimation methods in ill-conditioned scenario, two typical pathological scenarios, target intensive and sensor intensive, are theoretically analyzed, and a ridge estimation method for multi-sensor system error is proposed.The numerical stability of the estimator is improved at the expense of unbiased estimator.By introducing the constraint of conditional number, the optimal value method of ridge parameter is given.The simulation results show that the proposed ridge estimator is consistent with the traditional least squares estimator in the good scenario, the performance of the proposed estimator is significantly superior to the traditional method in the target intensive scenario, and the performance of the proposed estimator in the sensor-intensive scenario is similar to that of the traditional least squares estimator.The estimation performance of distance system error is improved obviously.
【作者單位】： 海軍工程大學電子工程學院;中國人民解放軍91715部隊;
【基金】：第61批中國博士后科學基金面上資助(2017M613370)資助課題
【分類號】：TP212

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