7 papers · 1 filter
Sparse Array Sensor Selection in ISAC with Identifiability Guarantees
Robin Rajamäki, Piya Pal
This paper investigates array geometry and waveform design for integrated sensing and communications (ISAC) employing sensor selection. We consider ISAC via index modulation, where…
Subspace Coding for Spatial Sensing
Hessam Mahdavifar, Robin Rajamäki, Piya Pal
A subspace code is defined as a collection of subspaces of an ambient vector space, where each information-encoding codeword is a subspace. This paper studies a class of spatial se…
Sparse Spatial Smoothing: Reduced Complexity and Improved Beamforming Gain via Sparse Sub-Arrays
Yinyan Bu, Robin Rajamäki, Anand Dabak +3
This paper addresses the problem of single snapshot Direction-of-Arrival (DOA) estimation, which is of great importance in a wide-range of applications including automotive radar.…
Importance of array redundancy pattern in active sensing
Robin Rajamäki, Piya Pal
This paper further investigates the role of the array geometry and redundancy in active sensing. We are interested in the fundamental question of how many point scatterers can be i…
On array geometry and self-interference in full-duplex massive MIMO communications
Robin Rajamäki, Risto Wichman
This paper studies the role of the joint transmit-receive antenna array geometry in shaping the self-interference (SI) channel in full-duplex communications. We consider a simple s…
Harnessing Holes for Spatial Smoothing with Applications in Automotive Radar
Yinyan Bu, Robin Rajamäki, Pulak Sarangi +1
This paper studies spatial smoothing using sparse arrays in single-snapshot Direction of Arrival (DOA) estimation. We consider the application of automotive MIMO radar, which tradi…