多源數據融合落點精度評估方法

第 1 章 緒論 ····································································································.1
1.1 研究背景 ·····························································································.1
1.2 國內外研究現狀與發展趨勢 ·····································································.2
1.2.1 多源數據融合評估方法的研究現狀與發展趨勢·····································.2
1.2.2 遷移學習算法的研究現狀與發展趨勢·················································.4
1.2.3 目前研究中存在的問題與不足··························································.7
1.3 研究內容 ·····························································································.8
第 2 章 飛行器精度評估指標 ···············································································.9
2.1 精度評估的常用指標 ··············································································.9
2.1.1 CEP ···························································································.9
2.1.2 密集度·······················································································.10
2.1.3 準確度·······················································································.11
2.2 精度評估指標的經典計算方法 ·································································.12
2.2.1 落點密集度評定的經典 ?2 檢驗 ·······················································.12
2.2.2 CEP 的概率圓檢驗········································································.13
2.2.3 落點精度的自助評估·····································································.13
第 3 章 多源數據的預處理方法···········································································.18
3.1 多源數據的質量檢驗方法 ·······································································.18
3.1.1 靜態試驗數據的質量檢驗·······························································.18
3.1.2 動態試驗數據的質量檢驗·······························································.23
3.1.3 算例分析····················································································.25
3.2 半實物仿真數據的完備性檢驗 ·································································.26
3.2.1 完備性檢驗的總體思路··································································.26
3.2.2 完備性檢驗準則···········································································.28
3.2.3 組距的確定·················································································.29
3.2.4 數據擴充····················································································.32
3.2.5 置信區間的求解與包絡確定····························································.35
3.2.6 完備性檢驗算例···········································································.40
3.3 完備性不足時的增補試驗設計 ·································································.42
3.3.1 增補試驗設計的總體思路·······························································.42
3.3.2 BP 神經網絡的結構 ······································································.43
3.3.3 BP 神經網絡的學習算法 ································································.44
3.3.4 隱含層節點數分析········································································.46
3.3.5 數據樣本的擴充與抽樣··································································.48
3.3.6 建立增補試驗條件模型··································································.53
3.3.7 增補試驗算例··············································································.53
第 4 章 不同規模試驗數據的特征提取、擴充與規則化·············································.63
4.1 不同規模試驗數據的特征提取與規則化 ·····················································.63
4.1.1 基於概率非均勻抽樣的特征提取與規則化方法····································.63
4.1.2 基於參數軸均勻抽樣的特征提取與規則化方法····································.64
4.2 不同規模試驗數據的擴充與規則化 ···························································.65
4.2.1 基於 Bootstrap 的數據擴充與規則化··················································.65
4.2.2 基於 BPA 的極小樣本數據擴充與規則化············································.65
4.3 算例 ··································································································.66
第 5 章 多源異構數據的融合算法········································································.68
5.1 靜態數據的融合算法 ·············································································.68
5.1.1 總體思路····················································································.68
5.1.2 多源靜態數據權重確定··································································.69
5.1.3 多源異構靜態數據融合··································································.77
5.1.4 算例··························································································.79
5.2 動態數據的融合算法 ·············································································.80
5.2.1 總體思路····················································································.80
5.2.2 多源動態數據權重確定··································································.82
5.2.3 多源異構動態數據融合··································································.85
5.2.4 算例··························································································.86
第 6 章 基於遷移學習的半實物仿真和真實試驗數據融合方法研究······························.87
6.1 基於概率特征和代理模型的真實試驗數據擴充············································.88
6.1.1 真實試驗數據擴充的總體思路·························································.88
6.1.2 基本概率分配函數的構造·······························································.88
6.1.3 真實試驗數據的擴充·····································································.90
6.2 面向特征提取的精度數據擴維方法研究 ·····················································.93
6.2.1 精度數據擴維的總體思路·······························································.93
6.2.2 核函數選取·················································································.94
6.2.3 映射確定····················································································.95
6.2.4 精度數據擴維算例········································································.96
6.3 精度數據的特征提取方法研究 ·································································.97
6.3.1 精度數據特征提取的總體思路·························································.97
6.3.2 基於主成分分析的主特征提取·························································.98
6.3.3 基於奇異值分解的對角矩陣構造····················································.100
6.3.4 測地流形投影矩陣構造································································.101
6.3.5 精度數據的特征提取算例·····························································.101
6.4 精度數據特征向量向目標域的投影 ·························································.105
6.4.1 精度數據特征向量向目標域投影的總體思路·····································.105
6.4.2 數據覆蓋率及樣本量相關置信度計算··············································.106
6.4.3 專家打分法確定權重···································································.108
6.4.4 投影參數的確定·········································································.109
6.4.5 精度數據向目標域投影算例··························································.109
6.5 精度評估 ····························································································112
6.5.1 CEP、密集度、準確度 ··································································112
6.5.2 精度評估算例··············································································112
6.6 遷移學習數據融合完整算例 ····································································113
第 7 章 基於遷移學習的融合評估方法在精度評估中的適用性研究····························.122
7.1 適用性研究的總體思路 ········································································.122
7.2 Bayes 融合算法 ··················································································.123
7.3 驗證方法一 ·······················································································.125
7.3.1 大樣本-小樣本同總體測試序列 ·····················································.125
7.3.2 小樣本-小樣本同總體測試序列 ·····················································.133
7.3.3 大樣本-小樣本異總體測試序列 ·····················································.135
7.3.4 小樣本-小樣本異總體測試序列 ·····················································.139
7.3.5 驗證結果總結············································································.141
7.4 驗證方法二 ·······················································································.142
7.4.1 均勻分布下測試·········································································.142
7.4.2 正態分布下測試·········································································.165
7.4.3 正態-均勻分布下測試 ·································································.184
7.4.4 驗證結果總結············································································.204
7.5 遷移學習融合算法與 Bayes 融合算法對比總結 ··········································.205
第 8 章 小樣本情況下飛行器精度融合評估算法原型系統設計與測試·························.206
8.1 原型系統功能 ····················································································.206
8.2 原型系統設計 ····················································································.206
8.2.1 開發環境··················································································.206
8.2.2 半實物仿真數據完備性檢驗與增補試驗條件設計模塊·························.206
8.2.3 基於遷移學習的半實物仿真和真實試驗數據融合模塊·························.207
8.3 原型系統測試 ····················································································.208
8.3.1 安裝步驟··················································································.208
8.3.2 半實物仿真數據完備性檢驗與增補試驗條件設計模塊測試···················.209
8.3.3 基於遷移學習的半實物仿真和真實試驗數據融合模塊測試···················.215
第 9 章 總結 ·································································································.219
參考文獻 ·······································································································.220