IPC분류정보
국가/구분 |
United States(US) Patent
등록
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국제특허분류(IPC7판) |
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출원번호 |
US-0344398
(2008-12-26)
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등록번호 |
US-8199702
(2012-06-12)
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발명자
/ 주소 |
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출원인 / 주소 |
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대리인 / 주소 |
Anderson Gorecki & Manaras LLP
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인용정보 |
피인용 횟수 :
0 인용 특허 :
5 |
초록
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Baseband recovery in wireless networks, base transceiver stations, and wireless networking devices may be implemented to minimize the number of timing symbols while at the same time enabling wireless devices to use a relatively low per-symbol sampling rate, so that minimal processing is required to
Baseband recovery in wireless networks, base transceiver stations, and wireless networking devices may be implemented to minimize the number of timing symbols while at the same time enabling wireless devices to use a relatively low per-symbol sampling rate, so that minimal processing is required to implement the timing recovery. In one embodiment, a relatively low number of samples is taken per expected symbol interval during the training sequence. A subset of the samples is selected and processed to determine error signals for each of the samples. The error signals are multiplied by the expected symbol and summed to form an error signal. The error signal is used to adjust the set of samples that will be used and processed in connection with subsequent symbols. The error signal is also used to interpolate between available samples to infinitesimally approach the point of maximum eye opening.
대표청구항
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1. A wireless network, comprising: at least one base transceiver station;at least one wireless networking device;wherein at least one of the base transceiver station and the wireless networking device are configured to implement baseband recovery by: sampling a received training sequence of training
1. A wireless network, comprising: at least one base transceiver station;at least one wireless networking device;wherein at least one of the base transceiver station and the wireless networking device are configured to implement baseband recovery by: sampling a received training sequence of training symbols at a relatively low number of times during each estimated training symbol interval to obtain a relatively low number of samples for each estimated training symbol interval,selecting a contiguous subset of the relatively low number of samples,obtaining a first derivative associated with the subset;multiplying the first derivative by an expected data symbol to obtain an error signal for the training symbol interval;accumulating error signals from successive training symbol intervals to form an accumulated error signal;using a first portion of the accumulated error signal to adjust which of the relatively low number of samples are to be included in the contiguous subset in connection with processing a subsequent training symbol; andusing a second portion of the accumulated error signal to determine a likely position of a location of maximum eye opening to estimate the timing phase from the training sequence. 2. The wireless network of claim 1, wherein the first portion is an integer portion of the accumulated error signal. 3. The wireless network of claim 1, wherein the second portion is a fraction portion of the accumulated error signal. 4. The wireless network of claim 1, wherein the subset includes at least five sample points, and wherein the first derivative is calculated by adding a first difference of first derivatives of a first set of two of the sampling points with a second difference of first derivatives of a second set of two of the sampling points, the first and second sets being disjoint. 5. The wireless network of claim 1, wherein the error signal is further configured to adjust a clock value, the clock value controlling a frequency with which the received training sequence is sampled. 6. The wireless network of claim 1, wherein multiplying the first derivative by the expected data symbol enables the symbol polarity to be ignored when accumulating error signals from successive training symbol intervals. 7. The wireless network of claim 1, wherein the step of sampling the received training sequence at a relatively low number of times during each estimated training symbol interval causes between about 4 and 30 samples to be obtained for each estimated training symbol interval. 8. The wireless network of claim 1, wherein the step of sampling the received training sequence at a relatively low number of times during each estimated training symbol interval causes between about 8 and 15 samples to be obtained for each estimated training symbol interval. 9. A base transceiver station for use on a wireless network, comprising: at least one antenna configured to receive RF signals; anda processor connected to the at least one antenna and configured to implement baseband recovery from the RF signals by processing a training sequence of training symbols to recover timing frequency and timing phase from the training sequence, the processor being configured to: sample a received training sequence of training symbols at a relatively low number of times during each estimated training symbol interval to obtain a relatively low number of samples for each estimated training symbol interval,select a contiguous subset of the relatively low number of samples,obtain a first derivative associated with the subset;multiply the first derivative by an expected data symbol to obtain an error signal for the training symbol interval;accumulate error signals from successive training symbol intervals to form an accumulated error signal;use a first portion of the accumulated error signal to adjust which of the relatively low number of samples are to be included in the contiguous subset in connection with processing a subsequent training symbol;and use a second portion of the accumulated error signal to determine a likely position of a location of maximum eye opening to estimate the timing phase from the training sequence. 10. The base transceiver station of claim 9, wherein the first portion is an integer portion of the accumulated error signal. 11. The base transceiver station of claim 9, wherein the second portion is a fraction portion of the accumulated error signal. 12. The base transceiver station of claim 9, wherein the subset includes at least five sample points, and wherein the first derivative is calculated by adding a first difference of first derivatives of a first set of two of the sampling points with a second difference of first derivatives of a second set of two of the sampling points, the first and second sets being disjoint. 13. The base transceiver station of claim 9, wherein the error signal is further configured to adjust a clock value, the clock value controlling a frequency with which the received training sequence is sampled. 14. The base transceiver station of claim 9, wherein multiplying the first derivative by the expected data symbol enables the symbol polarity to be ignored when accumulating error signals from successive training symbol intervals. 15. A wireless networking device for use on a wireless communication network, comprising: at least one antenna configured to receive RF signals;and a processor connected to the at least one antenna and configured to implement baseband recovery from the RF signals by processing a training sequence of training symbols to recover timing frequency and timing phase from the training sequence, the processor being configured to:sample a received training sequence of training symbols at a relatively low number of times during each estimated training symbol interval to obtain a relatively low number of samples for each estimated training symbol interval,select a contiguous subset of the relatively low number of samples, obtain a first derivative associated with the subset;multiply the first derivative by an expected data symbol to obtain an error signal for the training symbol interval;accumulate error signals from successive training symbol intervals to form an accumulated error signal;use a first portion of the accumulated error signal to adjust which of the relatively low number of samples are to be included in the contiguous subset in connection with processing a subsequent training symbol; andand use a second portion of the accumulated error signal to determine a likely position of a location of maximum eye opening to estimate the timing phase from the training sequence. 16. The wireless networking device of claim 15, wherein the first portion is an integer portion of the accumulated error signal. 17. The wireless networking device of claim 15, wherein the second portion is a fraction portion of the accumulated error signal. 18. The wireless networking device of claim 15, wherein the subset includes at least five sample points, and wherein the first derivative is calculated by adding a first difference of first derivatives of a first set of two of the sampling points with a second difference of first derivatives of a second set of two of the sampling points, the first and second sets being disjoint. 19. The wireless networking device of claim 15, wherein the error signal is further configured to adjust a clock value, the clock value controlling a frequency with which the received training sequence is sampled. 20. The wireless networking device of claim 15, wherein multiplying the first derivative by the expected data symbol enables the symbol polarity to be ignored when accumulating error signals from successive training symbol intervals.
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