2019 IEEE Radar Conference (RadarConf) 2019
DOI: 10.1109/radar.2019.8835590
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Nonlinear Radar via Intermodulation of Jointly Optimized FM Noise Waveform Pairs

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Cited by 11 publications
(8 citation statements)
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“…where πœ‚ 𝑖 = β„Ž d (𝑑 𝑖 ) 𝛽 √ π‘˜ out 𝑅 H 𝑅 rx /𝑅 F . For simplicity, in ( 23)- (25) we ignore the propagation delay in πœ‘(𝑑), on the grounds that 𝜏 𝑖+1 𝑇 s , but we revisit this point later. From (24), the partial sum 𝐴 p,𝑖 𝑒 πš₯ πœƒ p,𝑖 in adjustment slot 𝑖 reflects prior adjustments, so that helper 𝑖 + 1 should change its phase to equal that of the partial sum, πœƒ p,𝑖 .…”
Section: A Two-mode Transmission With Phase Adjustmentmentioning
confidence: 99%
See 3 more Smart Citations
“…where πœ‚ 𝑖 = β„Ž d (𝑑 𝑖 ) 𝛽 √ π‘˜ out 𝑅 H 𝑅 rx /𝑅 F . For simplicity, in ( 23)- (25) we ignore the propagation delay in πœ‘(𝑑), on the grounds that 𝜏 𝑖+1 𝑇 s , but we revisit this point later. From (24), the partial sum 𝐴 p,𝑖 𝑒 πš₯ πœƒ p,𝑖 in adjustment slot 𝑖 reflects prior adjustments, so that helper 𝑖 + 1 should change its phase to equal that of the partial sum, πœƒ p,𝑖 .…”
Section: A Two-mode Transmission With Phase Adjustmentmentioning
confidence: 99%
“…In the absence of error, this maximizes the amplitude of the next partial sum so that 𝐴 p,𝑖+1 = 𝐴 h,𝑖+1 + 𝐴 p,𝑖 . According to (25), the phase offset required to achieve this is…”
Section: A Two-mode Transmission With Phase Adjustmentmentioning
confidence: 99%
See 2 more Smart Citations
“…For example, in [43] (with detailed derivation in [44]) gradient-descent optimisation was performed and subsequently demonstrated experimentally to realise waveforms that can reach a lower bound on sidelobe performance for discretised FM waveforms. This general approach was also employed to optimise coded FM waveforms based on Legendre polynomials [45] (and also account for receiver range straddling), to efficiently incorporate spectral notches into FM waveforms [46], to realise an intermodulation-based formulation for non-linear harmonic radar [47], and to design different sub-classes of random FM waveforms [36,37]. Here gradient descent is used to optimise subsets of complementary FM waveforms.…”
Section: Complementary Fm Waveformsmentioning
confidence: 99%