Browsing by Author "Leelarani, V."

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DoA Estimation for Micro and Nano UAV Targets using AWR2243 Cascaded Imaging Radar
(Institute of Electrical and Electronics Engineers Inc., 2022) Kavya, T.S.; Vandana, G.S.; Srihari, P.; Leelarani, V.; Pardhasaradhi, B.
Frequency-modulated continuous wave (FMCW) radars accurately estimate the target's position and velocity, but the angular resolution is inadequate. The low radar cross section (RCS) unmanned aerial vehicles (UAVs) like micro UAVs (0.01m2) and nano UAVs (0.001m2) pose a significant threat to sensitive military and civilian installations. The DoA of the low RCS targets helps in making stealthy countermeasures. In this paper, the DoA of nano and micro UAVs is experimented using Texas instruments AWR2243 cascaded imaging radar in conjunction with a digital signal processing evaluation module (DSP EVM). The data is received from all the available 16 receivers, then the subspace method of multiple signal classification (MUSIC) algorithm is applied to estimate the DoA of the low RCS UAvs in hovering mode. The ground truth of the UAVs is fixed at 10m range and 12 Â° azimuth from the center of the radar using engineering protractor. The average estimated DoA for nano and micro UAV s is 12.80Â° and 11.43Â°, respectively, for the ground truth DoA. The AWR2243 cascaded imaging radar provides superior performance and suitable candidate for the DoA estimation for micro and nano UAVs compared to existing AWR1642, IWR1642, and IWR6843 radars. Â© 2022 IEEE.
FPGA Implementation of Moving Target Indicator Filter for FMCW Radar Data
(Institute of Electrical and Electronics Engineers Inc., 2023) Sreelekha, N.; Vandana, G.S.; Srihari, P.; Leelarani, V.; Raju, M.K.; Sreenivasula Reddy, T.S.
This study examines several digital finite impulse response (FIR) filter approaches for moving target indication (MTI) employing short-range FMCW radar sensors. The FIR filters can filter out low doppler shift responses from undesirable stationary targets. A 77 GHz AWR1642 FMCW radar sensor and a DCA1000 data capture card are used to build a hardware configuration. A single data frame (samples Ã— chirps) containing a target approaching the radar is been considered. The recorded radar is preserved in a 256x64 matrix of in-phase and quadrature-phase components, which is then processed using various digital filters. The radar provides insights into doppler characteristics for the observations. This study proposes designing and implementing a two-tap and a three-tap FIR filter-based MTI processing module to reduce static targets. The VLSI DSP pipelining approach is deployed to improve filter performance regarding critical path delay and throughput. Â© 2023 IEEE.
MTI Filter DSP Architectures in FMCW radar Framework for ADAS Applications
(Institute of Electrical and Electronics Engineers Inc., 2023) Sreelekha, N.; Vandana, S.G.; Leelarani, V.; Srihari, P.; Pardhasaradhi, B.
The digital Finite Impulse Response (FIR) filter emerges as a highly promising solution for enhancing Moving Target Indication (MTI) capabilities, particularly within the short-range Frequency-Modulated Continuous-Wave (FMCW) Radar framework. FIR filters prove instrumental in effectively filtering out low Doppler shift responses originating from stationary targets, thus improving radar performance in detecting moving objects. Milli-meter-wave Radar sensor AWR1642 of 77 GHz from Texas Instruments and a DCA1000 EVM capture card are used to record real-time data with moving target, which is then processed using high-speed data converter pro (HSDC) software focusing on the detection and tracking of moving targets. The frames of complex data from radar processing through various MTI FIR digital filters. This study delves into a range of VLSI Digital Signal Processing (DSP) techniques, including pipelining, parallel processing, broadcast structures, and retiming, all aimed at enhancing filter performance. These FIR structures are implemented using the Xilinx synthesis tool and deployed on the ZYNQ7 ZC702 FPGA board and the rest of the radar algorithm works on CPU in SoC configuration. Our experimental findings highlight the efficacy of retiming structures in optimizing pipeline delays, leading to reduced latency in the filtering process. This acceleration of MTI in SoC works in realtime, demonstrates substantial advantages for Advanced Driver Assistance Systems (ADAS) applications. It is characterized by a compact footprint, low power consumption, and high processing speed, making it a strong candidate for deployment in ADAS solutions. Â© 2023 IEEE.