DOA estimation of fast moving target in accelerated scene
Fangyuan Dong, Qing Dong, Mingjiang Yan, Yuxiang Yang, Changxiong Xia, Qunwan · 2017
To address the problem of direction of arrival (DOA) of fast moving target in accelerated scenario, a new DOA estimation algorithm based on the generalized almost-cyclostationary processes analysis is proposed. First, the property of fast moving target signal with a constant relative acceleration is discussed. We reveal that the received signal arises cyclostationarity even for the accelerated target. Since the noise does not have a cyclic feature, the desired signal can be extracted at cycle frequencies. Then, cyclostationarity properties are employed to construct the cyclic autocorrelation matrix to estimate DOA. The proposed algorithm can effectively suppress the noise and obtain prominent DOA estimation performance even in low signal-noise-ratio conditions. In the end, numerical simulations are provided to verify the effectiveness of new method, and demonstrate that it has a better performance compared with the conventional signal processing algorithm which models the Doppler effects as a frequency shift of carrier, especially in accelerated scenario.