红外与激光工程
紅外與激光工程
홍외여격광공정
INFRARED AND LASER ENGINEERING
2015年
1期
310-316
,共7页
安永泉%王志斌%李晋华%王召巴
安永泉%王誌斌%李晉華%王召巴
안영천%왕지빈%리진화%왕소파
氧吸收特性%谐振频带%被动测距%统计实验
氧吸收特性%諧振頻帶%被動測距%統計實驗
양흡수특성%해진빈대%피동측거%통계실험
oxygen absorption characteristics%resonant frequency band%passive ranging%statistical experimental
大气中氧分子浓度分布相对稳定,随纬度位置和季节变化不大;吸收波段跨越762 nm ,易于被非低温探测器探知;带内无叠加其他大气组分吸收谱。据此提出基于其吸收特性的比尔定律被动测距。通过基线拟合寻找762 nm和690 nm附近的吸收率来反演距离。朗伯-比尔定律应用中的一项固有误差项被发现,定义为非线性初值。其本质是仪器非理想特性的限制引起的不可消除的线间辐射强度。搭建距离测算实验平台,对东经113o,北纬38o地区,不同季节不同时段不同天气条件,建立大量的不同组约束条件下的氧吸收率与距离的关系样本数据库。统计拟合得到经验模型实时修正理论模型中的非线性初值项,距离反演精度小于2.7%。
大氣中氧分子濃度分佈相對穩定,隨緯度位置和季節變化不大;吸收波段跨越762 nm ,易于被非低溫探測器探知;帶內無疊加其他大氣組分吸收譜。據此提齣基于其吸收特性的比爾定律被動測距。通過基線擬閤尋找762 nm和690 nm附近的吸收率來反縯距離。朗伯-比爾定律應用中的一項固有誤差項被髮現,定義為非線性初值。其本質是儀器非理想特性的限製引起的不可消除的線間輻射彊度。搭建距離測算實驗平檯,對東經113o,北緯38o地區,不同季節不同時段不同天氣條件,建立大量的不同組約束條件下的氧吸收率與距離的關繫樣本數據庫。統計擬閤得到經驗模型實時脩正理論模型中的非線性初值項,距離反縯精度小于2.7%。
대기중양분자농도분포상대은정,수위도위치화계절변화불대;흡수파단과월762 nm ,역우피비저온탐측기탐지;대내무첩가기타대기조분흡수보。거차제출기우기흡수특성적비이정률피동측거。통과기선의합심조762 nm화690 nm부근적흡수솔래반연거리。랑백-비이정률응용중적일항고유오차항피발현,정의위비선성초치。기본질시의기비이상특성적한제인기적불가소제적선간복사강도。탑건거리측산실험평태,대동경113o,북위38o지구,불동계절불동시단불동천기조건,건립대량적불동조약속조건하적양흡수솔여거리적관계양본수거고。통계의합득도경험모형실시수정이론모형중적비선성초치항,거리반연정도소우2.7%。
The distribution of oxygen density is relatively stable in the atmosphere. It changes little with latitude and season. Its absorption bands step across 762 nm which is easy to be obtained by non-cryogenic detectors. No other absorption spectrum of atmospheric constituents add to this band. Accordingly , the single station passive ranging based on O2 absorption characteristics and Beer's law was proposed. The absorption rate near 762 nm and 690 nm was used to calculate distance by baseline fitting. An inherent error term was found in application of Lambert -Beer law. It was defined as Nonlinear Initial Value (NIV). Its innate character is the radiation intensity between the lines caused by limitations of instrument characteristics. It can not be eliminated. The experimental platform was built to calculate the distance. For 113 degrees east longitude, 38 degrees north latitude, different seasons, times and weather conditions, a large number of samples were collected to establish the database. Each sample is a relationship between absorption rate and distance in one set of constraints. Empirical model was gotten through statistical fitting. The Nonlinear Initial Value (NIV) in theoretical model was corrected in real time. The distance inversion accuracy is 2.7%.