Robust predictive deconvolution system and method

Details Robust predictive deconvolution system and method Robust predictive deconvolution system and method

2005-09-06

2005-09-06

Gregory, Bernarr E. (Department: 3662)

Communications: directive radio wave systems and devices (e.g.,

With particular circuit

Digital processing

C342S089000, C342S118000, C342S134000, C342S175000, C342S196000, C342S202000, C342S204000

Reexamination Certificate

active

06940450

ABSTRACT:
A method for processing a received, modulated pulse (i.e. waveform) that requires predictive deconvolution to resolve a scatterer from noise and other scatterers includes receiving a return signal; obtaining L+(2M−1)(N−1) samples y of the return signal, where y(l)={tilde over (x)}T(l)s+v(l); applying RMMSE estimation to each successive N samples to obtain initial impulse response estimates [{circumflex over (x)}1{−(M−1)(N−1)}, . . . , {circumflex over (x)}1{−1}, {circumflex over (x)}1{0}, . . . , {circumflex over (x)}1{L−1}, {circumflex over (x)}1{L}, . . . , {circumflex over (x)}1{L−1+(M−1)(N−1)}]; computing power estimates {circumflex over (ρ)}1(l)=|{circumflex over (x)}1(l)|2for l=−(M−1)(N−1), . . . , L−1+(M−1)(N−1); computing MMSE filters according to w(l)=ρ(l)(C(l)+R)−1s, where ρ(l)=|x(l)|2is the power of x(l), and R=E[v(l)vH(l)] is the noise covariance matrix; applying the MMSE filters to y to obtain [{circumflex over (x)}2{−(M−2)(N−1)}, . . . , {circumflex over (x)}2{−1}, {circumflex over (x)}2{0}, . . . , {circumflex over (x)}2{L−1}, {circumflex over (x)}2{L}, . . . , {circumflex over (x)}2{L−1+(M−2)(N−1)}]; and repeating (d)-(f) for subsequent reiterative stages until a desired length-L range window is reached, thereby resolving the scatterer from noise and other scatterers. The RMMSE predictive deconvolution approach provides high-fidelity impulse response estimation. The RMMSE estimator can reiteratively estimate the MMSE filter for each specific impulse response coefficient by mitigating the interference from neighboring coefficients that is a result of the temporal (i.e. spatial) extent of the transmitted waveform. The result is a robust estimator that adaptively eliminates the spatial ambiguities that occur when a fixed receiver filter is used.

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