… considered constant in one burst cycle T because of the short duration of the burst pulses.
Range … Weigel, “A scalable 77 GHz massive MIMO FMCW radar by cascading fully-integrated …

… -quality precoding in massive MIMO systems is challenging … FDD massive MIMO systems,”
IEEE Wirel. Commun. Lett., vol. … -uniform burst-sparsity learning for massive MIMO channel …

… The CS-based channel estimation need found the pure sparse representation to avoid the
… the most sparse representation of the channel especially for dynamic sparsity channel in the …

… Recent years have witnessed an unprecedented explosion … We begin with by studying the
impact of IQI on massive MIMO … impact of sparse propagation channels on massive MIMO by …

… radar is its implementation cost, stemming from the large number of transmit and receive …
This paper proposes MIMO-RSFT radar, a MIMO radar which employs the Realistic Sparse …

… are inherently sparse in the spatio-temporal domain. Hence, we exploit that sparsity to …
Let fc be the carrier frequency of operation; then a coherent burst of N transmitted pulses is …

… The pilot compression and feedback signalling for channel estimation in FDD massive MIMO
… zero burst will commence. Through a lifting transformation procedure, the burst sparsity is …

… In the above equation, the received range data ym in the m-th burst cycle is multiplied with
sparse weights w before Fourier transform is performed to get range spectrum. According to …

… the growing demand of data traffic and the explosion of the number of devices that need to
… The authors propose a solution that exploits the sparsity of the mm-Wave MIMO channel, …

… of heavily-relying on channel sparsity , the lack of feedback … for implementing CSI feedback
in massive MIMO systems. By … disappearance" and "gradient explosion" caused by the …