In this paper, we compare the increase in range with multiple-antenna base stations using adaptive array combining to that of phased array combining. With adaptive arrays, the received signals at the antennas are combined to maximize signalto-interference-plus-noise ratio (SINR) rather than only form a directed beam. Although more complex to implement, adaptive arrays have the advantage of high...

In this lecture we present the principles of adaptive beamforming, the problem of estimating the adaptive weights and several associated practical problems, like preserving low sidelobe patterns, using subarrays and GSLC configurations. We explain the detection problem with adaptive arrays and the methods for angle estimation. Finally the methods for resolution enhancement (super-resolution met...

Some new, efficient, and numerically stable algorithms for the recursive solution of matrix problems arising in optimal beamforming and direction finding are described and analyzed. The matrix problems considered are systems of linear equations and spectral decomposition. While recursive solution procedures based on the matrix inversion lemma may be unstable, ours are stable. Furthermore, these...

The bit error rate (BER) performance of single-carrier (SC) block transmission in a frequency-selective fading channel can be significantly improved by the use of frequency-domain equalization (FDE). However, in multi-cell environment, the BER performance is degraded due to co-channel interference. Adaptive antenna array (AAA) is effective to suppress the cochannel interference. In this paper, ...

We present the design-scheme and physical implementation for a Dynamic Adaptive Neural Network Array (DANNA) based upon the work by Schuman and Birdwell [1,2] and using a programmable array of elements constructed with a Field Programmable Gate Array (FPGA). The aim of this paper is to demonstrate how a single programmable neuromorphic element can be designed to support the primary components o...