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Fixed and Floating FMCW Radar Signal Processing with Tensilica DSPs

How to optimize typical frequency modulated continuous wave (FMCW) radar range-Doppler signal processing algorithm kernels using both fixed- and floating-point computations on Cadence Tensilica DSPs.

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Automotive advanced driver assistance system (ADAS) applications increasingly demand radar modules with better capability and performance. These applications require sophisticated radar processing algorithms and powerful digital signal processors (DSPs) to run them. Because these embedded systems have limited power and cost budgets, the DSP’s instruction set architecture (ISA) needs to be efficient and easy to program. This paper describes how to optimize typical frequency modulated continuous wave (FMCW) radar range-Doppler signal processing algorithm kernels using both fixed- and floating-point computations on Cadence Tensilica DSPs.

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