Abstract
In the presence of the direction of arrival (DOA) mismatch, the performance of generalized sidelobe canceller (GSC) may suffer severe degradation due to the gain loss of the desired signal in the main array and cancellation. In this paper, one effective GSC algorithm is proposed to improve the robustness against the DOA mismatch of the desired signal. Firstly, two subspaces, which contain the desired signal’s actual steering vectors of the main and auxiliary arrays, can be obtained by using the range information of the angle which the desired signal may come from. By rotating these two subspaces, the desired signal’s actual steering vectors of the main and auxiliary arrays can be estimated based on the maximum output power criterion. Then, with the estimates of the steering vectors in the former step, the gain loss of the desired signal in the main array can be alleviated. Moreover, one adaptive weight vector with the ability to block the desired signal in the auxiliary array can be obtained simultaneously, which effectively avoids the signal of interest cancellation consequently. Cycle iterative approach is also applied to guarantee the estimation accuracy of a wide range of angle deviation. Numerical simulations demonstrate the effectiveness and applicability of the proposed method.
Highlights
The adaptive antenna has the ability to select a set of amplitude and phase weights with which to combine the outputs from the elements to produce an artificially controlled beampatttern that optimizes the reception of a desired signal
The generalized sidelobe canceller (GSC) is an effective approach generally applied in radar and communication systems where the desired signal is only presented in a fraction of time or the amplitude of the desired signal
The uncertainty of steering vector of interest (SVI) will induce the gain loss of the desired signal in the main array which brings about the dramatic degradation of the output signal-to-interference and noise ratio (SINR)
Summary
The adaptive antenna has the ability to select a set of amplitude and phase weights with which to combine the outputs from the elements to produce an artificially controlled beampatttern that optimizes the reception of a desired signal. The uncertainty of SVI will induce the gain loss of the desired signal in the main array which brings about the dramatic degradation of the output signal-to-interference and noise ratio (SINR) In these years, improving the robustness of the beamformer against the mismatch of the steering vector is becoming an essential requirement and several contributions have been proposed to work on it [13,14,15,16,17,18,19]. Together with several novel constraints which prevented the estimation converging to the interference subspace, the desired signal’s actual steering vector was obtained by solving the QCQP.
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