Abstract:
Optimal Decision Feedback Equalizer (DFE) coefficients are determined from a channel estimate h by casting the DFE coefficient problem as a standard recursive least squares (RLS) problem, e.g., the Kalman gain solution to the RLS problem. A fast recursive method, e.g., fast transversal filter (FTF) technique, for computing the Kalman gain is then directly used to compute Feed Forward Equalizer (FFE) coefficients gopt. The complexity of a conventional FTF algorithm is reduced to one third of its original complexity by choosing the length of a Feed Back Equalizer (FBE) coefficients bopt (of the DFE) to force the FTF algorithm to use a lower triangular matrix. The FBE coefficients bopt are then computed by convolving the FFE coefficients gopt with the channel impulse response h. In performing this operation, a convolution matrix that characterizes the channel impulse response h extended to a bigger circulant matrix. With the extended circulant matrix structure, the convolution of the FFE coefficients gopt with the channel impulse response h may be performed in the frequency domain, which can be computed efficiently using the Fast Fourier Transform (FFT).
Abstract:
Directly computing Feed Forward Equalizer (FFE) coefficients and Feed Back Equalizer (FBE) coefficients of a Decision Feedback Equalizer (DFE) from a channel estimate. The FBE coefficients have an energy constraint. A recursive least squares problem is formulated based upon the DFE configuration, the channel estimate, and the FBE energy constraint. The recursive least squares problem is solved to yield the FFE coefficients. The FFE coefficients are convolved with a convolution matrix that is based upon the channel estimate to yield the FBE coefficients. A solution to the recursive least squares problem is interpreted as a Kalman gain vector. A Kalman gain vector solution to the recursive least squares problem may be determined using a Fast Transversal Filter (FTF) algorithm.
Abstract:
Multi-Input-Multi-Output (MIMO) Optimal Decision Feedback Equalizer (DFE) coefficients are determined from a channel estimate h by casting the MIMO DFE coefficient problem as a standard recursive least squares (RLS) problem and solving the RLS problem. In one embodiment, a fast recursive method, e.g., fast transversal filter (FTF) technique, then used to compute the Kalman gain of the RLS problem, which is then directly used to compute MIMO Feed Forward Equalizer (FFE) coefficients gopt. The complexity of a conventional FTF algorithm is reduced to one third of its original complexity by choosing the length of a MIMO Feed Back Equalizer (FBE) coefficients bopt (of the DFE) to force the FTF algorithm to use a lower triangular matrix. The MIMO FBE coefficients bop are computed by convolving the MIMO FFE coefficients gopt with the channel impulse response h. In performing this operation, a convolution matrix that characterizes the channel impulse response h extended to a bigger circulant matrix. With the extended circulant matrix structure, the convolution of the MIMO FFE coefficients gopt with the channel impulse response h may be performed easily performed in the frequency domain.
Abstract:
A system for mitigating impairment in a communication system includes a delay block, a signal level block, a moving average window block, an impulse noise detection block, and a combiner. The delay block receives and delays each chip of a plurality of chips in a spreading interval. The signal level block determines a signal level of each chip of the plurality of chips in the spreading interval. The moving average window block determines a composite signal level for a chip window corresponding to the chip. The impulse noise detection block receives the signal level, receives the composite signal level, and produces an erasure indication for each chip of the plurality of chips of the corresponding chip window. The combiner erases chips of the plurality of chips of the spreading interval based upon the erasure indication.
Abstract:
A MPE-FEC memory chip and method for use in a DVB-H receiver, wherein the memory chip comprises a TS demux; a RS decoder; a system bus; and a RAM unit adapted to simultaneously interface to the TS demux, the RS decoder, and the system bus through time-multiplexing, wherein the RAM unit is adapted to (i) access multiple-words per clock cycle, and (ii) cache write and read accesses to reduce memory access from the TS demux and the system bus, and wherein the RAM unit is adapted to be clocked at a speed higher than an interfacing data-path to increase an effective throughput of the RAM unit. The RAM unit may comprise multiple RAM sub units, wherein while a first RAM sub unit is clock gated, the remaining multiple RAM sub units are accessible.
Abstract:
A system and method of performing re-synchronization for a Digital Video Broadcasting over Handheld (DVB-H) receiver, wherein the method comprises performing a time division multiplexing (TDM) data burst transmission sequence on bits of data received by the DVB-H receiver; performing a data bit re-synchronization sequence on the DVB-H receiver; removing an on-chip timer and internal state registers in the DVB-H receiver; and allowing the DVB-H receiver to power off in between receipt of data bursts. Preferably, the removing process reduces the time to perform the re-synchronization in the DVB-H receiver. Preferably, the data bit re-synchronization sequence comprises performing an automatic gain control (AGC) lock process; performing a model and guard detecting process; performing a frequency offset estimation process; performing a transmit parameter signaling (TPS) detection process; performing a timing and carrier loop lock process; and performing an equalizer delay process.
Abstract:
A system for mitigating impairment in a communication system includes a delay block, a signal level block, a moving average window block, an impulse noise detection block, and a combiner. The delay block receives and delays each chip of a plurality of chips in a spreading interval. The signal level block determines a signal level of each chip of the plurality of chips in the spreading interval. The moving average window block determines a composite signal level for a chip window corresponding to the chip. The impulse noise detection block receives the signal level, receives the composite signal level, and produces an erasure indication for each chip of the plurality of chips of the corresponding chip window. The combiner erases chips of the plurality of chips of the spreading interval based upon the erasure indication.
Abstract:
“Multiple approaches are presented herein to perform CFO correction within CDMA systems having multiple users. Any communication receiver may be adapted to perform the CFO correction in this manner CDM. One approach assumes a diagonal CFO matrix to decouple the different codes' soft symbol decisions, and each soft symbol decision is independently corrected to obtain hard decisions. Another approach employs direct CFO matrix inversion and multiplies it by a despread soft symbol decision vector to obtain corrected soft symbol decisions. Another approach first performs a single-user correction on the despread soft symbol decisions so, which are then sliced to obtain initial hard decisions. In the next step of this particular approach the initial hard decisions are multiplied by the CFO coefficients to obtain an estimate for the undesired ICI, which is then subtracted from the despread soft symbol decisions to obtain cleaner soft symbol decisions, which then can undergo slicing.”
Abstract:
Iterative data-aided carrier CFO estimation for CDMA systems. Any communication receiver may be adapted to perform the iterative data-aided carrier CFO estimation. The iterative data-aided carrier CFO estimation is performed using a high accuracy method. The operation may be described as follows: a received signal is despread and buffered. Using the received preamble sequence, an initial estimate of the CFO is obtained. This estimate is used to correct the whole despread data. The corrected data using the initial CFO estimate is sliced. Each despread data symbol is divided by the corresponding sliced data decision. The obtained sequence is then averaged across different codes to obtain a less noisy sequence, which is then used to estimate the CFO again. The procedure can be repeated (iterated) to obtain a more accurate carrier frequency offset estimate; the number of times in which the procedure is repeated may be programmable or predetermined.
Abstract:
A communication device constructed according to the present invention detects impulse noise in a preamble sequence. In detecting impulse noise in the preamble sequence the communication device first receive a preamble sequence that includes a plurality of preamble symbols. The communication device then divides the plurality of preamble symbols by at least one known preamble symbol to produce a plurality of preamble gains and/or a plurality of preamble phases corresponding to the plurality of preamble symbols. Finally, the communication device determines, based upon the plurality of preamble gains and/or the plurality of preamble phases, that at least one preamble symbol has been adversely affected by impulse noise. The communication device may discard at least one preamble symbol that has been adversely affected by impulse noise from the plurality of preamble symbols. The communication device may combine non-discarded preamble symbols of the plurality of preamble symbols of the preamble sequence to produce a composite result.