Integration detection research for high-speed and small target
Li Zhi-huai, Tan Xiansi, Hong Wang, Yao Yan-jun
Abstract
Li Zhi-huai, Tan Xiansi, Hong Wang, Yao Yan-jun
Abstract
Aiming at range migration in integration detection for high-speed and small target, the paper adopts parameter estimation and compensation in target detection. When estimating the target parameter, a new method of unambiguous Doppler frequency estimation is proposed, which resolves the problem of Doppler ambiguity, avoids the estimation of fuzzy factor, reduces the calculation quantity and lowers the demand of the input SNR at meantime. It is suitable for multi-target circumstance. Then, using of the estimated frequency of Doppler, the echo signal phase is compensated, without the influence of range migration. So this method can improve the detection performance of high-speed and small target greatly.
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Aiming at range migration in integration detection for high-speed and small target, the paper adopts parameter estimation and compensation in target detection. When estimating the target parameter, a new method of unambiguous Doppler frequency estimation is proposed, which resolves the problem of Doppler ambiguity, avoids the estimation of fuzzy factor, reduces the calculation quantity and lowers the demand of the input SNR at meantime. It is suitable for multi-target circumstance. Then, using of the estimated frequency of Doppler, the echo signal phase is compensated, without the influence of range migration. So this method can improve the detection performance of high-speed and small target greatly.
Key concepts: Computer science, Doppler effect, Compensation (psychology), Range (aeronautics), SIGNAL (programming language), Fuzzy logic, Phase (matter), Estimation theory