Low-Complexity Space-Time-Range Adaptive Processing for Airborne Radar Systems

• Main Authors: EN-HAO LIN, 林恩豪
• Other Authors: Fan-Shuo Tseng
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/6n3fp3

碩士 === 國立中山大學 === 通訊工程研究所 === 107 === Airborne radar is an early-warning system that can effectively detect any kind of target, including the missile, aircraft, battleships, and any vehicles. However, the system typically encounters clutter reflection and hostile jamming source, contaminating the impulse reflective waveforms. To overcome the situation, the space-time adaptive process (STAP) is proposed to construct two-dimensional (space and time) filter to suppress the clutter and null the jamming, but retains the target signal concurrently. The optimum filter coefficients can be obtained by the well-known Weiner solution which needs to compute the interference covariance matrix and its inverse. However, large dimension of the filter causes the heavy computation load, and a low-complexity design is required for real time implementation. In this thesis, we will apply the multi-stage Weiner filter and the distributed optimization techniques to approximately realize the real-time process. Simulation results are carried out to show that the proposed design can possess lower computational complexity and simulated time while retaining an acceptable performance, compared with the optimum Weiner STAP design.