Abstract
The bistatic radar weak target detection problem is considered in this paper. An effective way to detect weak target is the long time integration. However, range migration (RM) will occur due to the high speed. Without knowing the target motion parameters, a long time integration algorithm for bistatic radar is proposed in this paper. Firstly, the algorithm utilizes second-order keystone transform (SKT) to remove range curvature. Then the quadratic phase term is compensated by the estimated acceleration. After that, SKT is used once more and the Doppler ambiguity phase term compensation is performed. At last, the target energy is integrated via FT. Simulations are provided to show the validity of the proposed algorithm in the end.
Highlights
Bistatic radars have most advantages due to the geometrical properties of the system
Apart from its relative immunity to some forms of attack, bistatic radars can utilize the echo signal, which does not travel over the same path as the transmitted signal, to detect weak targets [1,2,3]. , this paper discuss the weak target detection methods for bistatic radar
This paper proposes a long time integration method for bistatic radars, which can solve the range migration (RM) and Doppler frequency ambiguity (DFA) problem
Summary
Bistatic radars have most advantages due to the geometrical properties of the system. It is known that the long time integration can increase the signal-to-noise-ratio (SNR) and improve the radar detection ability [4,5,6,7]. It includes coherent integration and non-coherent integration. Paper [9] proposes an algorithm to integrate the echo signal energy, which is named RFT. In order to address targets with radial acceleration, SKT is used to remove the range curvature in paper [10]. This paper proposes a long time integration method for bistatic radars, which can solve the RM and DFA problem.
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