Array Signal Processing

Performance of Non-Uniform Sensor spacing

In antenna arrays, non-uniformly placing elements with spacing being more than the minimum required reduces the total number of elements compared to uniform spacing case. However, how does this reduction in the degrees of freedom impact the accuracy of the direction-of-arrival (DOA) estimation?

I showed that non-uniform sensor spacing (with lesser number of sensors) has similar or better (accuracy) performance for Direction of Arrival estimation than uniform sensor spacing with the same array length. 

Here is my talk summarising this work

Here is the peer reviewed paper

Reference:  Pradeep D, Sumit Saraogi, Palanisamy P, Kalyanasundaram N, "Performance evaluation of non-uniform sensor spacing in a linear array configuration for MUSIC algorithm", IEEE International Conference on Signal and  Image Processing (ICSIP), vol.2, pp 1053-7, Dec 2006, Hubli, India

Root Propagator algorithm

I proposed a new algorithm titled Root propagator for direction of arrival estimation that married the computational efficiency of performing root decomposition for locating peaks in spatial spectrum with propagator which avoids eigenvalue decomposition of input covariance matrix. Thus I proposed an new efficient DOA estimation algorithm with comparable accuracy and resolving power as Propagator algorithm.

Reference:  Pradeep D, Zoltan Derzsi, "A root extension to the Propagator Algorithm for direction of arrival estimation", arXiv, 2025