High-resolution radar via compressed sensing
IEEE Transactions on Signal Processing
Time-frequency energy distributions meet compressed sensing
IEEE Transactions on Signal Processing
Beyond Nyquist: efficient sampling of sparse bandlimited signals
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
IEEE Transactions on Information Theory
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The parameter estimation of the frequency agility (FA) signal using the coding Nyquist folding receiver (CNYFR) is presented. The estimation algorithm adopting linear frequency modulation (LFM) as the local analogue modulation is derived. The Nyquist zone is estimated by the pseudo Wigner-Ville distribution (PWVD) and the hopping frequencies are calculated by the maximum likelihood (ML) method. Simulations show that CNYFR with analogue modulation of LFM has better performance than the sinusoidal frequency modulation (SFM) one, and the parameter estimation accuracy is acceptable when the SNR is above 0dB.