Abstract:
The potential advantages of frequency diverse array (FDA) Radars, particularly
in target direction and range estimation are numerous. Despite their ability,
the angle-range-dependent beampattern of FDA Radars introduces challenges of
angle-range coupling, necessitating the decoupling of angle and range estimates
for accuracy. Conventionally Subspace based methods have been used for range
and angle estimation in FDA radars, these methods provide low resolution parameter
estimation, and are less accurate and require several measurement pulses
to achieve required accuracy. A small error in angle estimation can be neglected
at lower ranges, but for targets at larger distances even a small error in angle
correspond to a larger distance. To address this, an integration of FDA technology
with multi-input multi-output (MIMO) systems is used, forming FDA-MIMO
radar systems that exploit MIMO’s high degree-of-freedom (DOF) for improved
estimation. In this thesis various sparse reconstruction methods have been used
for enhancing the angular accuracy of FDA-MIMO radar.
