论文标题
宽带信号模型的稀疏阵列横梁形成设计
Sparse Array Beamforming Design for Wideband Signal Models
论文作者
论文摘要
我们开发了稀疏的阵列接收边界设计方法，可实现宽带源和干扰器的最大信号干扰和噪声比（MaxSinr）。均考虑了两种绘制的延迟线（TDL）过滤和宽带阵列处理的DFT实现。阵列稀疏性源于在传感器之间切换的可用RF传输链数量有限，从而在不同的时间配置了不同的阵列。稀疏的阵列配置设计问题被公式为四二次约束二次程序（QCQP），并通过使用SDR（半芬特松弛）解决。还采用了通过SCA（连续的凸松弛）进行计算可行的方法。为了实现可实现的设计，在缺少自相关滞后的情况下，我们提出了无参数块Toeplitz矩阵完成，以估算整个阵列光圈中接收到的数据相关矩阵。结果表明，最佳的宽带稀疏阵列有效地利用了阵列光圈，并比次优阵列拓扑提供了可观的性能。
We develop sparse array receive beamformer design methods achieving maximum signal-to-interference plus noise ratio (MaxSINR) for wideband sources and jammers. Both tapped delay line (TDL) filtering and the DFT realizations to wideband array processing are considered. The array sparsity stems from the limited number of available RF transmission chains that switch between the sensors, thereby configuring different arrays at different times. The sparse array configuration design problem is formulated as a quadratically constraint quadratic program (QCQP) and solved by using SDR (semidefinite relaxation). A computationally viable approach through SCA (successive convex relaxation) is also pursued. In order to realize an implementable design, in presence of missing autocorrelation lags, we propose parameter-free block Toeplitz matrix completion to estimate the received data correlation matrix across the entire array aperture. It is shown that the optimum wideband sparse array effectively utilizes the array aperture and provides considerable performance improvement over suboptimal array topologies.
