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1. A method for computing a reconstructed desired user's signal contribution from a received signal, comprising: estimating spatial correlation of a plurality of received samples of the received signal;estimating spatial correlation of a plurality of channel coefficients of the received signal, the plurality of channel coefficients comprising signal amplitudes of various paths, including delay, received at multiple antennas;calculating the spatial correlation of a desired user's signal based on the estimated spatial correlation of the plurality of channe...
1. A method for computing a reconstructed desired user's signal contribution from a received signal, comprising: estimating spatial correlation of a plurality of received samples of the received signal;estimating spatial correlation of a plurality of channel coefficients of the received signal, the plurality of channel coefficients comprising signal amplitudes of various paths, including delay, received at multiple antennas;calculating the spatial correlation of a desired user's signal based on the estimated spatial correlation of the plurality of channel coefficients of the received signal; andcomputing the reconstructed desired user's signal contribution based on the calculated spatial correlation of the desired user's signal and the estimated spatial correlation of the plurality of received samples. 2. The method of claim 1, further comprising: estimating temporal correlation of the plurality of received samples of the received signal;estimating temporal correlation of the plurality of channel coefficients of the received signal; andcalculating the temporal correlation of the desired user's signal. 3. The method of claim 2, further comprising: obtaining a reconstruction matrix. 4. The method of claim 2, wherein the received signal with respect to a desired user may be represented by g(m)[k]=∑l=1Lh(m),l[k]s[k-dl]+z(m)[k],fork=1,…,Nandm=1,…,M,where k is the time-index reflecting a per-chip or sub-chip resolution, h(m),l[k] is the amplitude of the l-th path having a delay dl that is received at the m-th antenna, the delay dl may be time-varying, s[k] is the known signal of the user that is to be cancelled, and z(m)[k] is the additive noise representing received signals from at least other users, other-cell interference, and thermal noise. 5. The method of claim 4, wherein the additive noise z(m)[k] is uncorrelated with g(m)[k]. 6. The method of claim 4, wherein s[k] is a transmitted sequence and comprises at least one of data-, pilot- or overhead-sequence followed by a spreading sequence. 7. The method of claim 4, wherein if k corresponds to a sub-chip resolution, then s[k] further includes a convolution with the transmit and receive filters. 8. The method of claim 2, wherein the reconstructed desired user's signal contribution is represented by ĝ=Wy,where the vector g is represented byg=[g(l)[l], . . . , g(l)[N], . . . , g(M)[l], . . . , g(M)[N]]T, the vector y is represented byy=[y(l)[l], . . . , y(l)[N], . . . , y(M)[l], . . . , y(M)[N]]T, and the reconstruction matrix W is solved from WR(y,y)=R(g,y). 9. The method of claim 2, wherein in a scenario of a single-antenna multipath channel at sub-chip resolution, the received signal may be represented by g[k]=∑l=1Lhls[k-τl]+z[k],fork=1,…,Nandm=1,…M,where k is the time-index in chip multiples, s[k] is the user's known signal, hl is the amplitude of the l-th path channel with delay τl, and z[k] may represent received signals from at least other users, other-cell interference, and thermal noise. 10. The method of claim 9, wherein if the transmit-receive pulse is φ[k], where k reflects sampling at d times a chip frequency, then the known user's signal equals s[k]=x[k]{circle around (x)}φ[k], where x[k] is an upsampled coded-sequence. 11. The method of claim 10, wherein for closely spaced paths with τl-τl−1 near one chip interval, the presence of φ[k] may cause conventional de-spreading techniques to give bad channel path estimates. 12. The method of claim 10, wherein the closely spaced paths are referred to as fat-paths. 13. The method of claim 12, wherein in a moderate-to-high signal-to-noise ratio regime, the spatial and temporal correlation calculating of the desired user's signal may be further simplified to compensate for fat-paths and represented by [h^(-T)h^(-T+1)⋮h^(T)]=(ΦHΦ)-1ΦH[c[-T]c[-T+1]⋮c[T]],whereΦ=[ϕ[-2T]ϕ[-2T+1]⋯ϕ[0]ϕ[-2T+1]⋱⋮⋱ϕ[0]ϕ[1]ϕ[2T]]. 14. The method of claim 1, wherein in a scenario of a single-path multiple antenna channel at per-chip resolution, the received signal may be represented by g(m)[k]=h(m)s[k], for k=1, . . . , N and m=1, . . . , M , where k is the time index in chips, h(m) is the static over the duration N fade coefficient, s[k] is the spread data, pilot, or overhead signal, and z(m)[k] may represent received signals from at least other users, other-cell interference, and thermal noise. 15. The method of claim 14, wherein |s[k]|=1 and s[k] is known at a receiver. 16. The method of claim 14, wherein additive noise z(m)[k] is further modeled as an independently, identically distributed zero-mean signal, for all k=1, . . . , N . 17. The method of claim 16, wherein the additive noise z(m)[k] is uncorrelated with g(m)[k]. 18. The method of claim 14, wherein the reconstructed desired user's signal contribution is represented by g^[k]=s[k]NR(h,h)(R(h,h)+R(z,z)N)-1∑j=1Ns*[j]y[j]. 19. The method of claim 1, wherein the signal comprises a Code Division Multiple Access (CDMA) or a Wideband CDMA (W-CDMA) signal. 20. An apparatus for computing a reconstructed desired user's signal contribution from a received signal, comprising: means for estimating spatial correlation of a plurality of received samples of the received signal;means for estimating spatial correlation of a plurality of channel coefficients of the received signal, the plurality of channel coefficients comprising signal amplitudes of various paths, including delay, received at multiple antennas;means for calculating the spatial correlation of a desired user's signal based on estimated spatial correlation of the plurality of channel coefficients of the received signal; andmeans for computing the reconstructed desired user's signal contribution based on calculated spatial correlation of the desired user's signal and estimated spatial correlation of the plurality of received samples. 21. The apparatus of claim 20, further comprising: means for estimating temporal correlation of the plurality of received samples of the received signal;means for estimating temporal correlation of the plurality of channel coefficients of the received signal; andmeans for calculating the temporal correlation of the desired user's signal. 22. The apparatus of claim 21, further comprising: means for obtaining a reconstruction matrix. 23. The apparatus of claim 21, wherein the received signal may be represented by g(m)[k]=∑l=1Lh(m),l[k]s[k-dl],fork=1,…,Nandm=1,…,M,where k is the time-index reflecting a per-chip or sub-chip resolution, h(m),l[k] is the amplitude of the l-th path having a delay dl that is received at the m-th antenna, the delay dl may be time-varying, s[k] is the known signal of the user that is to be cancelled, and z(m)[k] is the additive noise representing received signals from at least other users, other-cell interference, and thermal noise. 24. The apparatus of claim 23, wherein the additive noise z(m)[k] is uncorrelated with g(m)[k]. 25. The apparatus of claim 23, wherein s[k] is a transmitted sequence and comprises at least one of data-, pilot- or overhead-sequence followed by a spreading sequence. 26. The apparatus of claim 23, wherein if k corresponds to a sub-chip resolution, then s[k] further includes a convolution with the transmit and receive filters. 27. The apparatus of claim 21, wherein the reconstructed desired user's signal contribution is represented by ĝ=Wy,where the vector g is represented byg=[g(l)[l], . . . , g(l)[N], . . . , g(M)[l], . . . , g(M)[N]]T, the vector y is represented byy=[y(l)[l], . . . , y(l)[N], . . . , y(M)[l], . . . , y(M)[N]]T, and the reconstruction matrix W is solved from WR(y,y)=R(g,y). 28. The apparatus of claim 21, wherein in a scenario of a single-antenna multipath channel at sub-chip resolution, the received signal may be represented by g[k]=∑l=1Lhls[k-τl],fork=1,…,Nandm=1,…M,where k is the time-index in chip multiples, s[k] is the user's known signal, hl is the amplitude of the l-th path channel with delay τl, and z[k] may represent received signals from at least other users, other-cell interference, and thermal noise. 29. The apparatus of claim 28, wherein if the transmit-receive pulse is φ[k] , where k reflects sampling at d times a chip frequency, then the known user's signal equals s[k]=x[k]{circle around (x)}φ[k], where x[k] is an upsampled coded-sequence. 30. The apparatus of claim 29, wherein for closely spaced paths with τl-τl−1 near one chip interval, the presence of φ[k] may cause conventional de-spreading techniques to give bad channel path estimates. 31. The apparatus of claim 29, wherein the closely spaced paths are referred to as fat-paths. 32. The apparatus of claim 31, wherein in a moderate-to-high signal-to-noise ratio regime, the calculating means of the spatial and temporal correlation of the desired user's signal may be further simplified to compensate for fat-paths and represented by [h^(-T)h^(-T+1)⋮h^(T)]=(ΦHΦ)-1ΦH[c[-T]c[-T+1]⋮c[T]],whereΦ=[ϕ[-2T]ϕ[-2T+1]⋯ϕ[0]ϕ[-2T+1]⋱⋮⋱ϕ[0]ϕ[1]ϕ[2T]]. 33. The apparatus of claim 20, wherein in a scenario of a single-path multiple antenna channel at per-chip resolution, the received signal may be represented by g(m)[k]=h(m)s[k], for k=1, . . . , N and m=1, . . . , M,where k is the time index in chips, h(m) is the static over the duration N fade coefficient, s[k] is the spread data, pilot, or overhead signal, and z(m)[k] may represent received signals from at least other users, other-cell interference, and thermal noise. 34. The apparatus of claim 33, wherein |s[k]|=1 and s[k] is known at a receiver. 35. The apparatus of claim 33, wherein additive noise z(m)[k] is further modeled as an independently, identically distributed zero-mean signal, for all k=1, . . . , N. 36. The apparatus of claim 35, wherein the additive noise z(m)[k] is uncorrelated with g(m)[k]. 37. The apparatus of claim 33, wherein the reconstructed desired user's signal contribution is represented by g^[k]=s[k]NR(h,h)(R(h,h)+R(z,z)N)-1∑j=1Ns*[j]y[j]. 38. The apparatus of claim 20, wherein the signal comprises a Code Division Multiple Access (CDMA) or a Wideband CDMA (W-CDMA) signal. 39. An interference cancellation (IC) apparatus comprising: a receiver configured to receive a received signal; anda module configured to perform interference cancellation and to compute a reconstructed desired user's signal contribution from spatially and temporally correlated received samples of the received signal and spatially and temporally correlated channel coefficients of the received signal, the channel coefficients comprising signal amplitudes of various paths, including delay, received at multiple antennas;wherein the module is further configured to calculate spatial and temporal correlation of a desired user's signal based on the spatially and temporally correlated channel coefficients, and further wherein computation of the reconstructed desired user's signal contribution is based on calculated spatial and temporal correlation of the desired user's signal and the spatially and temporally correlated received samples. 40. The apparatus of claim 39, wherein the module comprises: means for estimating spatial and temporal correlation of the received samples;means for estimating spatial and temporal correlation of the plurality of channel coefficients of the received signal;means for calculating spatial and temporal correlation of a desired user's signal based on estimated spatial correlation of the plurality of channel coefficients of the received signal; andmeans for computing the reconstructed desired user's signal contribution based on calculated spatial and temporal correlation of the desired user's signal and estimated spatial and temporal correlation of the plurality of received samples. 41. The apparatus of claim 40, further comprising: means for obtaining a reconstruction matrix. 42. A non-transitory computer readable medium embodying a method of computing a reconstructed desired user's signal contribution from a received signal, the method comprising: estimating spatial correlation of a plurality of received samples of the received signal;estimating spatial correlation of a plurality of channel coefficients of the received signal, the plurality of channel coefficients comprising signal amplitudes of various paths, including delay, received at multiple antennas;calculating the spatial correlation of a desired user's signal based on the estimated spatial correlation of the plurality of channel coefficients of the received signal; andcomputing the reconstructed desired user's signal contribution based on the calculated spatial correlation of the desired user's signal and the estimated spatial correlation of the plurality of received samples.