This article presents an innovative design technique for feeding phase antenna arrays using coherently radiating periodic structure (CORPS) technology for reducing the number of phase shifters (PSs) in limited-scan applications with low sidelobe level (SLL). The proposed configuration is implemented taking advantage of the phase interpolation property of a CORPS network of one layer. This configuration is built by interconnecting $2\times 3$ CORPS networks in a strategic way in order to provide a reduction in the number of PSs while maintaining the scanning capability. Experimental results and full-wave simulations based on CST Microwave Studio reveal that the proposed design technique reduces the recombination losses and generates a better phase slope with respect to the basic CORPS network providing a reduction in the number of PSs. As a novel contribution, this article provides the full antenna system design in order to analyze and study the PSs reduction performance and scanning capabilities of the proposed technique to feed linear antenna arrays. The proposed design technique provides a reduction in the number of PSs for a scanning range of ±25° in linear arrays. The array design model includes the application of the raised cosine amplitude distribution to generate a radiation pattern with minimum SLL. The linear array system was validated by experimental measurements of the full system prototype and full-wave simulations results are provided to verify the accuracy of the array model and to take mutual coupling into account. The proposed case provides a good design compromise with respect to other cases in the state of the art.

In this letter, a new hybrid technique to synthesize sparse linear arrays is proposed. This technique is based on the combination of two methods. As a first method, a deterministic synthesis algorithm is used to resolve the nonuniform amplitude excitations and the antenna element locations. Then, the second method is an iterative optimization scheme that computes the phase of the excitation currents. This approach is proven valid to properly match diverse beam patterns (narrow-beam, flat-top, and square-cosecant) with sparse linear arrays. Three numerical experiments are reported that show the performance of the proposed technique and compare it to other outstanding methods available in the literature.

This paper presents the design of aperiodic concentric ring arrays for ultra-wide bandwidths (UW-ACRA). This design of ultra-wideband arrays considers the synthesis of concentric rings in two cases: 1) non-uniform spacing between rings with non-uniform spacing between antenna elements of the same ring (UW-ACRA_elements); and 2) non-uniform spacing between rings assuming that spacing between antenna elements of the same ring to be equal (UW-ACRA_rings). This is in order to eliminate the occurrence of grating lobes and generating array structures with useful ultra-wideband properties. The synthesis process is carried out by the well-known method of differential evolution (DE). Wireless sensor networks can take advantage of these properties to achieve less data traffic, efficient delivery of information and better energy efficiency.

The synthesis of two-dimensional antenna arrays that allows to optimize the number of its elements is of great interest for long term evolution (LTE)-advanced wireless systems. In this communication we present a novel synthesis approach which focuses on reducing the number of antenna elements using independent compression regions (ICR). We base our approach on the non-iterative matrix pencil method (MPM) and the iterative Bayesian compressive sampling (BCS) method. Both of these techniques have been previously used for the compression of linear arrays and now we apply them in the context of two-dimensional arrays. Our compression method is based on the idea of segmenting the array in independent regions. A set of numerical experiments (small and large 2D arrays, shaped-beam antenna patterns) are presented to assess the performance and potentialities of ICR design approach.