Knowledge-Aided (Potentially Cognitive) Transmit Signal and Receive Filter Design in Signal-Dependent Clutter
Knowledge-Aided (Potentially Cognitive) Transmit Signal and Receive Filter Design in Signal-Dependent Clutter
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DOI：
10.1109/taes.2013.6404093
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发表时间：
2013-01-01
影响因子：
4.4
通讯作者：
Wicks, M.
中科院分区：
文献类型：
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作者：
Aubry, A.;De Maio, A.;Wicks, M.
我们考虑了信号相关杂波中点状目标的知识辅助(可能是认知的)发射和接收滤波器设计问题。我们假设雷达系统可以访问一个(潜在的动态)数据库，其中包含一个地理信息系统(GIS)，它描述了要照明的地形的特征，以及一些先验的电磁反射率和光谱杂波模型，它允许对实际散射环境进行原始预测。因此，我们设计了一种发射信号和接收滤波器的优化程序，从而依次提高了信干噪比(SINR)。该算法的每一次迭代都需要解一个凸优化问题和一个隐凸优化问题，并用解析的方法证明了算法的收敛。由此得到的计算复杂度与迭代次数呈线性关系，与接收滤波器长度呈多项式关系。在分析阶段，我们评估了在均匀地杂波场景和异质海陆混合杂波环境下所提出的技术的性能。
We consider the problem of knowledge-aided (possibly cognitive) transmit signal and receive filter design for point-like targets in signal-dependent clutter. We suppose that the radar system has access to a (potentially dynamic) database containing a geographical information system (GIS), which characterizes the terrain to be illuminated, and some a priori electromagnetic reflectivity and spectral clutter models, which allow the raw prediction of the actual scattering environment. Hence, we devise an optimization procedure for the transmit signal and the receive filter which sequentially improves the signal-to-interference-plus-noise ratio (SINR). Each iteration of the algorithm, whose convergence is analytically proved, requires the solution of both a convex and a hidden convex optimization problem. The resulting computational complexity is linear with the number of iterations and polynomial with the receive filter length. At the analysis stage we assess the performance of the proposed technique in the presence of either a homogeneous ground clutter scenario or a heterogeneous mixed land and sea clutter environment.