Massive MIMO (multiple-input multiple-output) is no longer a “wild” or “promising” concept
for future cellular networks—in 2018 it became a reality. Base stations (BSs) with 64 fully …

Coprime arrays can achieve an increased number of degrees of freedom by deriving the
equivalent signals of a virtual array. However, most existing methods fail to utilize all …

Sparse arrays are known to achieve an increased number of degrees-of-freedom (DOFs) for
direction-of-arrival (DOA) estimation, where an augmented virtual uniform array calculated …

In this article, a joint transmit resource management and waveform selection (JTRMWS)
strategy is put forward for target tracking in distributed phased array radar network. We …

In this letter, we propose a coprime array interpolation approach to provide an off-grid
direction-of-arrival (DOA) estimation. Through array interpolation, a uniform linear array …

Vehicular energy network (VEN), as an important part of the Internet of Things for the smart
city, can facilitate the renewable energy (RE) transportation over a large geographical area …

In this article, a joint target assignment and resource optimization (JTARO) strategy is
proposed for the application of multitarget tracking in phased array radar network system …

Smart city emerges a promising paradigm for improving operational efficiency of city and
comfort of people. With embedded multi-sensors, Unmanned Aerial Vehicles (UAVs) hold …

Conventional canonical polyadic decomposition (CPD) approach for tensor-based sparse
array direction-of-arrival (DOA) estimation typically partitions the coarray statistics to …

As a generalized coprime array structure, the coprime array with displaced subarrays
(CADiS) allows a large minimum inter-element spacing by introducing a specific …