Estimating detection range of ballistic missile in infrared system based on near space platform

2018 ◽  
Author(s):  
Li Lu ◽  
Wen Sheng ◽  
Feng Jiang ◽  
Wei Jiang
Keyword(s):  
Ballistic Missile ◽  
Detection Range ◽  
Near Space ◽  
Space Platform

TARGET HIT INTERCEPTOR MID-COURSE GUIDANCE SCHEME FOR BALLISTIC MISSILE INTERCEPTION

2013 ◽  
pp. 7-11
Author(s):  
N. PRABHAKAR ◽  
K. CHANDRA SEKHAR ◽  
V. VAIDIYANATHAN
Keyword(s):  
Numerical Simulation ◽  
High Speed ◽  
Ballistic Missile ◽  
Lower Velocity ◽  
Detection Range ◽  
Guidance Law ◽  
Guidance Algorithm ◽  
Sensor Detection

A Mid-course guidance algorithm has been developed for an exo-atmospheric interceptor to neutralize an incoming high speed ballistic Target. The guidance scheme positions the interceptor ahead of the target so that the velocity vectors of the target and interceptors are in the same direction. As the interceptors used in ballistic missile defence have a lower velocity than the incoming target, the target approaches the interceptor. The guidance scheme reduces the closing velocity compared to a head on approach thereby increasing the homing time for a given terminal sensor detection range. The guidance law is validated through numerical simulation.

Research of Characteristic Extraction and Matching Algorithm of Ballistic Missile Hyperspectral Data Based on Quantization Coding Method

2014 ◽  
Vol 945-949 ◽  
pp. 1936-1941 ◽  
Author(s):  
Shi Hua Liu ◽  
Zeng Jun Bi ◽  
Li Lu
Keyword(s):  
Low Complexity ◽  
Hyperspectral Data ◽  
Ballistic Missile ◽  
Imaging Spectrometer ◽  
Matching Algorithm ◽  
Near Space ◽  
Characteristic Extraction ◽  
Coding Method ◽  
Extraction Algorithm ◽  
Result Show

A characteristic extraction algorithm of the ballistic missile hyperspectral data based on the quantization coding method is studied. The ballistic missile hyperspectral data of imaging spectrometer based on near-space platform is generated by numerical method. The characteristic of the ballistic missile hyperspectral data is extracted and matched using the characteristic extraction algorithm based on the quantization coding method. The simulation result show that the characteristic extraction algorithm is easy to implement and low complexity. The characteristic, which extracted by this algorithm, is enough to represent the speciality of the ballistic missile hyperspectral data. The matching algorithm has high accuracy.

Detection Performance Analysis of Space-Based Radar to near Space Hypersonic Target

2014 ◽  
Vol 981 ◽  
pp. 730-734
Author(s):  
Song Xiao ◽  
Xian Si Tan ◽  
Hong Wang ◽  
Zhi Fang Zuo
Keyword(s):  
Performance Analysis ◽  
Detection System ◽  
Detection Performance ◽  
Flight Speed ◽  
Flight Distance ◽  
Range Searching ◽  
Detection Range ◽  
Near Space ◽  
Tracking Mode ◽  
Flight Height

Aimed at the problem that it is hard to detect near space hypersonic target for conventional radar because of its high flight speed, flight height, and flight distance and so on, the detection performance of space-based radar to near space hypersonic target was analyzed. The characteristics of near space hypersonic target and the advantages of space-based radar was introducted, and then, the detection performances of space-based radar to near space hypersonic target from detection range, searching and tracking mode were studied. It has certain guiding significance for space-based radar development and perfection of near space detection system.

Research of Characteristic Extraction Algorithm of Ballistic Missile Hyperspectral Databased on Horizontal Traversing Time

2014 ◽  
Vol 945-949 ◽  
pp. 1932-1935
Author(s):  
Shi Hua Liu ◽  
Wen Sheng ◽  
Xian Zhi Zhang
Keyword(s):  
Numerical Method ◽  
Low Complexity ◽  
Hyperspectral Data ◽  
Ballistic Missile ◽  
Object Matching ◽  
Imaging Spectrometer ◽  
Near Space ◽  
Characteristic Extraction ◽  
Extraction Algorithm ◽  
Result Show

A characteristic extraction algorithm of the ballistic missile hyperspectral data based on the horizontal traversing time is studied. The ballistic missile hyperspectral data of imaging spectrometer based on near-space platform is generated by numerical method. The characteristic of the ballistic missile hyperspectral data is extracted using the characteristic extraction algorithm based on the horizontal traversing time. The simulation result show that the characteristic extraction algorithm is easy to implement and low complexity. The characteristic, which extracted by this algorithm, is enough to represent the speciality of the ballistic missile hyperspectral data. The characteristic is not sensitive to disturbed signal and improve the timeliness of the following object matching and recognition.

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