2013 IEEE Radar Conference (RadarCon13) 2013
DOI: 10.1109/radar.2013.6586032
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FMCW transceiver wideband sweep nonlinearity software correction

Abstract: Abstract-This paper presents a novel wideband sweep nonlinearity software correction method for a frequency modulated continuous wave (FMCW) transceiver based on the high-order ambiguity function (HAF) and time resampling. By emphasizing the polynomial-phase nature of the FMCW signal, it is shown that the HAF processing algorithm is well suited for estimating the sweep nonlinearity coefficients. The estimated coefficients are used to build a correction function which is applied by resampling the beat signal on… Show more

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Cited by 8 publications
(3 citation statements)
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“…The coefficients of the polynomial-phase signal (PPS) are estimated using the high-order ambiguity function (HAF) [14] on a reference response which can be either a delay line or a high reflectivity target whose propagation delay should be roughly known. Afterwards, with the estimated coefficients, the nonlinearity correction function is built and applied through a time resampling procedure [15].…”
Section: Introductionmentioning
confidence: 99%
“…The coefficients of the polynomial-phase signal (PPS) are estimated using the high-order ambiguity function (HAF) [14] on a reference response which can be either a delay line or a high reflectivity target whose propagation delay should be roughly known. Afterwards, with the estimated coefficients, the nonlinearity correction function is built and applied through a time resampling procedure [15].…”
Section: Introductionmentioning
confidence: 99%
“…which reduces to one error vector, (ε n T), that can be expressed as a modulation error or a sample time error. Time resampling, by interpolation, of each range profile effectively compensates for the phase error for at the cost of computation time [15,16]. Time resampling ratio can be fixed or optimized using phase error and the largest range of interest [17] by the least squares fit at calibration time.…”
Section: Linearization Methods 21 Linearization Using Resamplingmentioning
confidence: 99%
“…Some promising solutions to correct single pulse data are time resampling [15,16] and phase resampling [17]. In terms of discrete samples, the phase of the baseband signal is given by Equation (4) above.…”
Section: Linearization Using Resamplingmentioning
confidence: 99%