US 20080317110 A1 Abstract A method, system and apparatus for reliable multicarrier communication in the presence of timing phase error is disclosed. Phase noise due to a sampling-time phase mismatch between a transmitter device and a receiver device is measured in a signal. A Gaussian noise power level in the signal is determined, and a gain factor associated with the phase noise is calculated. The gain factor is applied to the Gaussian noise power level to calculate an equivalent noise power. In one aspect, the equivalent noise power is used to determine a signal-to-noise ratio. In another aspect, the signal is a multicarrier signal including a plurality of sub-carriers.
Claims(20) 1. A method comprising:
measuring phase noise in a signal, the phase noise due to a sampling-time phase mismatch between a transmitter device and a receiver device; determining a Gaussian noise power level in the signal; calculating a gain factor associated with the phase noise; and applying the gain factor to the Gaussian noise power level to calculate an equivalent noise power. 2. The method of determining a signal-to-noise ratio based on a signal power of the signal and the calculated equivalent noise power. 3. The method of 4. The method of determining the total noise power level in the signal; and subtracting the phase noise power level from said total noise power level in the signal. 5. The method of 6. The method of 7. The method of determining a first gain factor and a first equivalent noise power for a first sub-carrier; and determining a second gain factor and a second equivalent noise power for a second sub-carrier. 8. A machine-readable medium storing executable instructions to a cause a device to perform a method comprising:
measuring phase noise in a signal, the phase noise due to a sampling-time phase mismatch between a transmitter device and a receiver device; determining a Gaussian noise power level in the signal; calculating a gain factor associated with the phase noise; and applying the gain factor to the Gaussian noise power level to calculate an equivalent noise power. 9. The method of determining the total noise power level in the signal; and subtracting the phase noise power level from said total noise power level in the signal. 10. The machine-readable medium of determining a signal-to-noise ratio based on a signal power of the signal and the calculated equivalent noise power. 11. The machine-readable medium of 12. The machine-readable medium of 13. The machine-readable medium of 14. The machine-readable medium of determining a first gain factor and a first equivalent noise power for a first sub-carrier; and determining a second gain factor and a second equivalent noise power for a second sub-carrier. 15. An apparatus comprising:
means for measuring phase noise in a signal, the phase noise due to a sampling-time phase mismatch between a transmitter device and a receiver device; means for determining a Gaussian noise power level in the signal; means for calculating a gain factor associated with the phase noise; and means for applying the gain factor to the Gaussian noise power level to calculate an equivalent noise power. 16. The apparatus of means for determining a signal-to-noise ratio based on a signal power of the signal and the calculated equivalent noise power. 17. The apparatus of 18. The apparatus of 19. The apparatus of 20. The apparatus of means for determining a first gain factor and a first equivalent noise power for a first sub-carrier; and means for determining a second gain factor and a second equivalent noise power for a second sub-carrier. Description This application is a continuation of Ser. No. 10/773,054 filed Feb. 4, 2004, which is hereby incorporated by reference. This disclosure relates generally to communication systems, and more particularly to multicarrier communication in the presence of timing phase error. A Discrete Multi-Tone (DMT) communication system carries information from a transmitter to a receiver over a number of tones. The tones are also commonly referred to as sub-carriers or sub-channels. There are various sources of interference and noise in a DMT system that may corrupt the information signal on each tone as it travels through the communication channel and is decoded at the receiver. Because of this signal corruption, the transmitted data may be retrieved erroneously by the receiver. In order to ensure a reliable communication between transmitter and receiver, each tone may carry a limited number of data bits. The number of data bits or the amount of information that a tone carries may vary from tone to tone and depends on the relative power of the information and the corrupting signals on that particular tone. A reliable communication system is typically defined as a system in which the probability of an erroneously detected data bit by the receiver is always less than a target value. The aggregate sources of corruption associated with each tone are commonly modeled as a single additive noise source with Gaussian distribution that is added to the information signal on that tone. Under these assumptions, the signal-to-noise power ratio (SNR) becomes a significant factor in determining the maximum number of data bits a tone can carry reliably. The direct relationship between SNR and the bit rate is based on the key assumption of Gaussian distribution for noise. However, this assumption may not be completely valid in many practical situations. An important source of non-Gaussian impairment is, for example, phase noise. Phase noise may be a sampling-time phase mismatch between the transmitter and the receiver devices. This type of error may result from, for example, phase jitter of the sampling oscillator on the transmitter side or poor phase lock on the receiver side. With such noise sources potentially present, a determination of the SNR may not accurately determine the reliable bit rate. In the following detailed description of embodiments of the invention, reference is made to the accompanying drawings in which like references indicate similar elements, and in which, by way of illustration, specific embodiments in which the invention may be practiced are shown. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention, and it is to be understood that other embodiments may be utilized and that logical, mechanical, electrical, functional and other changes may be made without departing from the scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined only by the appended claims. In an Asymmetric Digital Subscriber Line (ADSL) system, where each tone is modulated using a Quadrature Amplitude Modulation (QAM) scheme, the error between the receive and transmit signal is usually depicted in a 2D scatter plot for each tone. In such a plot, each point corresponds to a data point and represents the amplitude error of the in-phase and perpendicular components of the carrier. As discussed above, a timing phase error (i.e. phase noise) may result from, for example, phase jitter of the sampling oscillator on the transmitter side or poor phase lock on the receiver side. Ideally, the sampling times of the transmitter and receiver should be synchronized. The timing is typically set by either the transmitter or the receiver. Circuitry and algorithms are used to determine the timing. Timing mismatch is a multiplicative source of error, which effectively rotates the signal points on the QAM constellation. The angle of rotation can vary through time, and is usually modeled as a uniformly distributed random process. Because of the multiplicative nature of timing mismatch, the error term is proportionally larger for constellation points that are farther away from the origin. Plot However, a simple Gaussian distribution may not accurately model the effects of timing phase error. Specifically, using a simple power measurement for SNR calculation underestimates the effect of phase noise and results in a higher bit-error rate. In one embodiment, a more accurate model for timing phase error takes into account the dependency of phase error to the power level of a signal or the distance of the constellation point from the origin. Equivalent Noise Power A bit-error occurs when the noise amplitude is large enough so that a received QAM constellation point crosses the so-called decision boundary and is decoded as a neighboring point. The decision boundaries normally cross midway between the adjacent constellation points. For a Gaussian noise source, the ratio of the minimum-distance of constellation points to the power level of noise determines the bit-error rate. For a fixed power level of noise, the higher the minimum distance is, the lower the probability of error is. When maintaining a target error rate for a given power level of noise, the constellation size may be chosen such that its minimum-distance is above: where d In one embodiment, to obtain a similar expression for phase noise, an assumption is made that the probability of error is mostly dominated by constellation points with largest phase noise. These points are the ones that are positioned farthest from the center of constellation. In one embodiment, using this assumption and for the sake of bit-error rate analysis, the power of phase noise is decoupled from the power of the signal. In other words, the parameters of the composite noise model In one embodiment, with these assumptions, the phase noise adds a constant non-zero bias of β=r In one embodiment, it is useful to find an equivalent pure Gaussian noise source that results in the same minimum-distance as a composite noise source. In one embodiment, using equations (1) and (2), the power of the equivalent noise source, σ
This indicates that for the purpose of bit-error rate analysis and bit-loading, a composite noise source is equivalent to a simple Gaussian noise source with an amplified power. Therefore, in one embodiment, the composite noise model
It should be noted that the assumptions that led to the equivalent noise model Noise Power Measurement in ADSL A system level overview of the operation of an embodiment of the invention is described with reference to For a particular sub-carrier of the multicarrier signal, a Total Noise Power Measurement block A Phase Noise Power block Gain Factor block A Signal Power Measurement block In one embodiment, the present invention provides for the automatic calculation of an equivalent noise power in a DMT communication system in the presence of timing phase error. The method In one embodiment of the method In one embodiment, at block
where n is a number of samples measured. In one embodiment, the average power of the timing phase error (5) and the maximum error of the timing phase error (6) is determined for a phase noise measurement sub-carrier. In another embodiment, the average power of the timing phase error and the maximum error of the timing phase error is determined for each sub-carrier. In one embodiment, the method
where n is a number of samples measured. This quantity includes both the power of Gaussian noise and also phase error. At block
where f is the sub-carrier frequency, At block
At block The final value of equivalent noise power, σ In one embodiment, the method Thus, in one embodiment, from a state in which the Gain Factor has a value of unity, a first threshold is used to control when phase noise compensation is activated. Once activated, a second threshold which is lower than the first threshold, is used to control when the phase noise compensation is deactivated. It will be appreciated that other values may be used as thresholds for hysteresis, and that other measurements may be used to control activation and deactivation of phase noise compensation. Although embodiments of the present invention are described primarily with respect to the measurement and compensation for timing phase error (i.e. phase noise), it will be appreciated that embodiments of the present invention may be applied to compensate for other types of non-Gaussian noise sources. For example, impulse noise, a type of non-Gaussian noise, may be compensated for by determining a gain factor associated with the impulse noise, and applying the gain factor to determine an equivalent noise power. Furthermore, although embodiments of the present invention are described primarily with respect to ADSL systems using DMT modulation, it will be appreciated that embodiments of the present invention are not limited thereto. For example, embodiments of the present invention are applicable to other types of DSL systems, such as, but not limited to, Rate Adaptive DSL (RADSL), Very High Bit Rate DSL (VDSL or VHDSL), High Bit Rate DSL (HDSL), Symmetric DSL (SDSL), ISDN DSL (IDSL), and Orthogonal Frequency Division Multiplexing (OFDM), as well as communications systems using other modulation techniques. Embodiments of the present invention are applicable to communication systems employing carrier signals in general. For example, in a single carrier system, timing phase error may be measured and compensated for by modeling the timing phase error as described above, and generating a gain factor associated with the timing phase error. The data processing system illustrated in The system may further be coupled to a display device Another device, which may optionally be coupled to computer system It will be appreciated by those of ordinary skill in the art that any configuration of the system may be used for various purposes according to the particular implementation. The control logic or software implementing the present invention can be stored in main memory It will be apparent to those of ordinary skill in the art that the system, method, and process described herein can be implemented as software stored in main memory The present invention may also be embodied in a handheld or portable device containing a subset of the computer hardware components described above. For example, the handheld device may be configured to contain only the bus Reference throughout this specification to “one embodiment” or “an embodiment” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases “in one embodiment” or “in an embodiment” in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. The above description of illustrated embodiments of the invention, including what is described in the Abstract, is not intended to be exhaustive or to limit the invention to the precise forms or embodiments disclosed. While specific embodiments of, and examples for, the invention are described herein for illustrative purposes, various equivalent modifications are possible within the scope of the invention, as those skilled in the relevant art will recognize. These modifications can be made to embodiments of the invention in light of the above detailed description. The terms used in the following claims should not be construed to limit the invention to the specific embodiments disclosed in the specification and the claims. Rather, the scope of the invention is to be determined entirely by the following claims, which are to be construed in accordance with established doctrines of claim interpretation. Referenced by
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