5 papers
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…
Effect of Beampattern on Matrix Completion with Sparse Arrays
Robin Rajamäki, Mehmet Can Hücümenoğlu, Pulak Sarangi +1
We study the problem of noisy sparse array interpolation, where a large virtual array is synthetically generated by interpolating missing sensors using matrix completion techniques…