Performance analysis of robust adaptive technique for MIMO radar Systems in reconfigurable medium

Robust adaptive techniques for multiple input and multiple output (MIMO) radar systems are one of the main focused area of research, nowadays. In MIMO radar system, linearly independent waveforms are transmitted using different propagation paths via multiple antennas. The waveforms reflected from different targets are also linearly independent with each other which allows to apply the several well-known robust adaptive algorithms to achieve high resolution and interference rejection. These algorithms reject the external interferences as well as accurately estimate the target location and amplitude. Before the advent of digital hardware, the beamformers were implemented using mechanical systems. Today, field programmable gate array (FPGA) has become powerful enough to perform the massive number of operations. FPGA is also a reconfigurable digital hardware which and can reuse for different applications. In this paper, authors investigate the Robust Capon Beamformer (RCB), Doubly Constrained Robust Capon Beamformer (DCRCB) in reconfigurable medium FPGA for MIMO radar systems. The hardware implementation deals with the complex 32-bit single precision floating point values in Virtex5 FPGA at 180 MHz clock. This realization takes input from 10 channels and computes the adaptive weight vector. The proposed architectures of both algorithms are coded in Verilog and analyzed their performance in terms of throughput, efficiency, and hardware resources.