To address the problem that the combination of conventional FDA and nonlinear frequency bias cannot achieve range-angle decoupling, a decoupled nonlinear frequency bias HL-FDA scheme is studied based on an accurate understanding of the range dimension dependence. By using the FDA-MIMO structure instead of the conventional uniform linear FDA structure, combined with the minimum variance distortion-free response (MVDR) adaptive beamforming algorithm, the interference outside the platform can be suppressed.
The conventional single carrier frequency antenna pattern has a narrow main lobe level, but its side lobe level cannot be greatly reduced, which is not conducive to the improvement of the anti-interference effect. Based on this, this paper applies the sinusoidal weighted multi-carrier frequency scheme to the Frequency Diverse Array (FDA) and compares the performance of the antenna patterns of several FDA structures using the sinusoidal weighted multi-carrier scheme. It can be seen from the simulation results that compared with the single carrier frequency and other multi-carrier frequency schemes, the performance of the FDA regime radar such as SL-FDA is significantly improved after applying the sinusoidal weighted multi-carrier frequency scheme. The main lobe width in the range dimension is narrowed, and the side lobe level is also effectively suppressed. The sinusoidal weighted multi-carrier scheme is significantly better than other multi-carrier schemes.
The antenna pattern of Frequency Diverse Array-Multiple Input Multiple Output (FDA-MIMO) is not only affected by the array element distribution but also related to the frequency offset, but the ideal design effect cannot be achieved only by relying on one of the array element distributions and frequency offset. Based on this, this paper studies a sparse array FDA scheme using the improved genetic algorithm to optimize the array element distribution and frequency offset. The simulation results show that compared with Log-FDA and GAO-FDA, the antenna pattern of the sparse array FDA scheme optimized by the genetic algorithm for array distribution and frequency offset has a narrower main lobe, and its side lobe level also performs well. The performance of this sparse array FDA scheme is significantly better than that of Log-FDA and GAO-FDA.
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