14 citations · 14 across the 6 of their papers we have counts for
7 papers
Grassmannian-Coded Beamforming for mmWave Channel Sensing with Unknown Complex Path Gain
Parthasarathi Khirwadkar, Robin Rajamäki, Piya Pal
This paper introduces a subspace-coding perspective to millimeter-wave channel sensing with a single RF chain when the complex channel gain is unknown. We show that in this case, c…
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…
On the Impossibility of Lossless Waveform Rank Reduction for Certain Redundant Arrays
Robin Rajamäki, Piya Pal
Efficient use of spatio-temporal resources, including sensor arrays and transmit waveforms, is a key challenge in modern MIMO active sensing systems. This paper studies the impact…
Super-resolution with Binary Priors: Theory and Algorithms
Pulak Sarangi, Ryoma Hattori, Takaki Komiyama +1
The problem of super-resolution is concerned with the reconstruction of temporally/spatially localized events (or spikes) from samples of their convolution with a low-pass filter.…
Super-resolution with Sparse Arrays: A Non-Asymptotic Analysis of Spatio-temporal Trade-offs
Pulak Sarangi, Mehmet Can Hucumenoglu, Robin Rajamaki +1
Sparse arrays have emerged as a popular alternative to the conventional uniform linear array (ULA) due to the enhanced degrees of freedom (DOF) and superior resolution offered by t…
Sampling Requirements for Stable Autoregressive Estimation
Abbas Kazemipour, Sina Miran, Piya Pal +2
We consider the problem of estimating the parameters of a linear univariate autoregressive model with sub-Gaussian innovations from a limited sequence of consecutive observations.…