Abstract:
Aspects of a method and system for efficient full resolution correlation may include correlating a first signal with a second signal at a rate corresponding to a first discrete signal, wherein each sample of the first signal may be generated by summing a plurality of consecutive samples from the first discrete signal, and the second signal may be generated by summing the plurality of consecutive samples from a second discrete signal. The correlating may be performed by a matched filter and/or a correlator. The first signal comprising N samples may be generated by summing L consecutive samples for each of the N samples from the first discrete signal comprising N*L samples. The second signal comprising N samples may be generated by summing L consecutive samples for each of the N samples from the second discrete signal comprising N*L samples. The first signal and the second signal may be correlated by multiplying the N samples of the first signal with the N samples of the second signal in N multipliers and summing a plurality of outputs of the multipliers. A maximum of the correlating may be determined to achieve synchronization between the first discrete signal and the second discrete signal.
Abstract:
Aspects of a method and system for efficient full resolution correlation may include correlating a first signal with a second signal at a rate corresponding to a first discrete signal, wherein each sample of the first signal may be generated by summing a plurality of consecutive samples from the first discrete signal, and the second signal may be generated by summing the plurality of consecutive samples from a second discrete signal. The correlating may be performed by a matched filter and/or a correlator. The first signal comprising N samples may be generated by summing L consecutive samples for each of the N samples from the first discrete signal comprising N*L samples. The second signal comprising N samples may be generated by summing L consecutive samples for each of the N samples from the second discrete signal comprising N*L samples. The first signal and the second signal may be correlated by multiplying the N samples of the first signal with the N samples of the second signal in N multipliers and summing a plurality of outputs of the multipliers. A maximum of the correlating may be determined to achieve synchronization between the first discrete signal and the second discrete signal.
Abstract:
A mobile device receives a signal, from a base station, comprising a primary synchronization sequence (PSS) and a secondary synchronization sequence (SSS). The mobile device utilizes two different sampling rates to perform the PSS synchronization and the SSS detection individually. For example, the mobile device synchronizes to the received PSS at a first sampling rate such as 0.96 MHz, which is determined based on the PSS transmission rate and/or the length of the received PSS. The mobile device detects the received SSS at a second sampling rate such as 1.92 MHz, which equals to the sampling rate for an analog-to-digital conversion at the mobile device. The received PSS and associated symbol timing are detected through the PSS synchronization to support the SSS detection. The detected SSS is used to acquire cell-specific parameters such as cell ID. The acquired cell-specific parameters ensure proper communications between the mobile device and the base station.
Abstract:
A mobile device receives a signal comprising a PSS and a SSS. The mobile device performs iterative MFHT utilizing a reduced number of MFH branches. At each iteration, frequency offset estimation and Cell-ID detection are concurrently performed. An iteration starts with selecting initial frequency offsets spanning a frequency offset estimation range. The selected initial frequency offsets are placed in the MFH branches. A particular MFH branch with a maximum PSS correlation peak magnitude is selected at the iteration. A frequency offset estimate in the selected MFH branch is utilized for frequency control. The frequency offset estimation range utilized for the current iteration is reduced for the next iteration. A Cell-ID is declared if the Cell-ID is consistently detected not only within a particular iteration on the basis of having detected consistent cell ID information for the first and second halves of a radio frame, but also from iteration to iteration.
Abstract:
Aspects of a method and system for reducing the complexity of multi-frequency hypothesis testing using an iterative approach may include estimating a frequency offset of a received signal via a plurality of iterative frequency offset hypotheses tests. The iterative frequency offset hypotheses may be adjusted for each iteration. A correlation may be done between a primary synchronization signal (PSS), and one or more frequency offset versions of a received signal to control the adjustment of the iterative frequency offset hypotheses. A frequency of the received local oscillator signal may be adjusted based on the estimated frequency offset. One or more frequency offset version of the received signal may be generated via one or more multiplication, and the multiplication may be achieved via a multiplication signal corresponding to one or more frequency offsets. The frequency offset of the received signal may be estimated via the correlation.
Abstract:
Aspects of a method and system for reducing the complexity of multi-frequency hypothesis testing using an iterative approach may include estimating a frequency offset of a received signal via a plurality of iterative frequency offset hypotheses tests. The iterative frequency offset hypotheses may be adjusted for each iteration. A correlation may be done between a primary synchronization signal (PSS), and one or more frequency offset versions of a received signal to control the adjustment of the iterative frequency offset hypotheses. A frequency of the received local oscillator signal may be adjusted based on the estimated frequency offset. One or more frequency offset version of the received signal may be generated via one or more multiplication, and the multiplication may be achieved via a multiplication signal corresponding to one or more frequency offsets. The frequency offset of the received signal may be estimated via the correlation.
Abstract:
A mobile device receives a signal comprising a PSS and a SSS. The mobile device performs iterative MFHT utilizing a reduced number of MFH branches. At each iteration, frequency offset estimation and Cell-ID detection are concurrently performed. An iteration starts with selecting initial frequency offsets spanning a frequency offset estimation range. The selected initial frequency offsets are placed in the MFH branches. A particular MFH branch with a maximum PSS correlation peak magnitude is selected at the iteration. A frequency offset estimate in the selected MFH branch is utilized for frequency control. The frequency offset estimation range utilized for the current iteration is reduced for the next iteration. A Cell-ID is declared if the Cell-ID is consistently detected not only within a particular iteration on the basis of having detected consistent cell ID information for the first and second halves of a radio frame, but also from iteration to iteration.