FPGA-based Low Latency Inverse QRD Architecture for Adaptive Beamforming in Phased Array Radars
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The main objective of this paper is to facilitate the adaptive beamforming which is one of the most challenging task in phased array radars receivers. Recursive least square (RLS) is considered as the most well suited adaptive algorithm for the applications where beamforming is mandatory, because of its good numerical properties and convergence rate. In this paper, some RLS variants are discussed and the most numerically suitable algorithm Inverse QRD is selected for efficient adaptive beamforming. A novel architecture for IQRD RLS is also presented, which offers low latency and low area occupation for Field Programmable Gate Array (FPGA) implementation. This approach reduces the computations by utilizing the standard pipelining methodology. Hence, efficient adder and multipliers and LUT based solution for square root and division, has highly enhanced the performance of the algorithm. The proposed IQRD RLS architecture has been coded in Verilog and analyze its performance in terms of throughput, hardware resources and efficiency.
KeywordsAdaptive filters, beamforming, phased-array radars, Recursive Least Square (RLS), Inverse QR Decomposition (IQRD), Field Programmable Gate Array (FPGA)
Document typePeer reviewed
Document versionFinal PDF
SourceRadioengineering. 2017 vol. 26, č. 3, s. 851-859. ISSN 1210-2512
- 2017/3