US2008089455A1PendingUtilityA1
Linear Single-Antenna Interference Cancellation Receiver
Individually held — no corporate assignee on recordPriority: Mar 28, 2003Filed: Oct 31, 2007Published: Apr 17, 2008
Est. expiryMar 28, 2023(expired)· nominal 20-yr term from priority
H04L 25/0202
52
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Claims
Abstract
System and method for interference cancellation in a digital wireless communications system. A preferred embodiment comprises sampling a received signal wherein the received signal is real-valued, rotating the sampled received signal by a specified amount, extracting in-phase and quadrature phase streams from the rotated, sampled received signal, applying an interference suppression filter and combining the filtered streams. The output of the combining operation can be de-correlated (by whitening) if there is excessive correlation.
Claims
exact text as granted — not AI-modified1 - 38 . (canceled)
39 . A method for suppressing interference in a received signal comprising:
sampling the received signal to create a discrete time sequence representing the received signal; rotating the discrete time sequence by a specified amount; extracting in-phase and quadrature phase streams from the rotated, sampled received signal; applying an interference suppression filter to the in-phase and quadrature phase streams; and combining the filtered in-phase and quadrature phase streams.
40 . The method of claim 39 further comprising after the combining, whitening the combined streams.
41 . The method of claim 40 , wherein the whitening can be performed via a temporal filter.
42 . The method of claim 41 , wherein the temporal filter can be implemented via a linear predictor.
43 . The method of claim 39 , wherein the sampling is at a sampling rate essentially equal to a symbol rate of the received signal.
44 . The method of claim 39 , wherein the in-phase stream is the real portion of the rotated, sampled received signal and the quadrature stream is the imaginary portion of the rotated, sampled received signal.
45 . The method of claim 43 , wherein the interference suppression filter can be designed using a zero-forcing criteria.
46 . The method of claim 43 , wherein the interference suppression filter can be designed using a minimum mean square error criteria.
47 . The method of claim 43 , wherein the interference suppression filter can be designed using a maximum signal to interference plus noise (SINR) criteria.
48 . The method of claim 34 , wherein the sampling is at a sampling rate that is greater than a symbol rate of the received signal.
49 . A method for suppressing interference in a received signal comprising:
sampling the received signal to create a discrete time sequence representing the received signal, wherein the sampling is at a sampling rate that is not less than a symbol rate of the received signal; rotating the discrete time sequence by a specified amount; extracting in-phase and quadrature phase streams from the rotated, sample received signal; and applying an interference suppression filter to the in-phase and quadrature phase streams.
50 . The method of claim 49 further comprising after the applying, whitening the in-phase and quadrature phase streams.
51 . The method of claim 50 , wherein the whitening can be performed by a spatial whitening transform, W, and wherein the spatial whitening transform is a function of an inverse of an interference convariance matrix estimate, wherein:
R
=
1
Λ
∑
m
∈
Λ
e
m
e
m
T
,
wherein e(z)=F(z)v(z) can be the residual interference after interference suppression, F(z) is the interference suppression matrix, Λ is an index set depending upon where v(z) is computed within a transmission burst, and R is the interference covariance matrix estimate.
52 . The method of claim 51 , wherein the covariance matrix estimates can be derived from transmission training sequences.
53 . The method of claim 51 , wherein the covariance matrix estimates can be derived via decision feedback.
54 . The method of claim 51 , wherein W=R e −1 .
55 . The method of claim 51 , wherein W=R e −1/2 .
56 . The method of claim 51 , wherein the sampling is at a sampling rate that is greater than a symbol rate of the received signal.
57 . A circuit comprising:
a sampling and coupled to a signal input, the sampling unit containing circuitry to sample a received signal provided by the signal input at a specified sampling rate and to create a discrete time sequence representing the received signal; a rotating unit coupled to the sampling unit, the rotating and containing circuitry to rotate the discrete time sequence by a specified amount; a pair of extractors coupled to the rotating unit, the extractors containing circuitry to extract an in-phase and a quadrature phase steam from an output of the rotating unit; and a filter coupled to the pair of extractors, the filter containing circuitry to suppress interference present in the received signal.
58 . The circuit of claim 57 further comprising a whitening unit coupled to the filter, the whitening unit containing circuitry to de-correlate information present in the output of the filter.
59 . The circuit of claim 57 , wherein the filter comprises:
a pair of filters, each filter to be applied separately to the in-phase and the quadrature phage streams; and a combiner coupled to the pair of filters, the combiner to sum the outputs from the pair of filters.
60 . The circuit of claim 57 , wherein the filter is a space-time interference suppression filter (STISF).
61 . The circuit of claim 60 further comprising a whitening unit coupled to the STISF containing circuitry to de-correlate information present in the output of the STISF, wherein a transfer function of the STISF is computed from the output of the pair of extractors and captured training sequences from transmissions of a desired user.
62 . The circuit of claim 61 , wherein the transfer function is the sum of the output of the pair of extractors and a convolution of a channel estimate with the captured training sequences.
62 . The circuit of claim 61 , wherein the whitening unit applies a convolution of the transfer function of the STISF with a sum of the output of the pair of extractors and a convolution of a channel estimate with the captured training sequences.Join the waitlist — get patent alerts
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