The present invention relates generally to digital filters, more specifically the present invention relates to training of a non-updated decision feedback equalizer.
Electronic equipment and supporting software applications typically involve signal processing. For example, home theater, computer graphics, medical imaging and telecommunications all rely on signal-processing technology. Signal processing requires fast math in complex, but repetitive algorithms. Many applications require computations in real-time, i.e., the signal is a continuous function of time, which need be sampled and converted to digital, for numerical processing. A signal processor has to execute algorithms performing discrete computations on the samples as they arrive. The architecture of a digital signal processor (DSP) is optimized to handle such algorithms. The characteristics of a good signal processing engine typically may include fast, flexible arithmetic computation units, unconstrained data flow to and from the computation units, extended precision and dynamic range in the computation units, dual address generators, efficient program sequencing, and ease of programming.
For wireless receivers, time domain multi-path effect exists, a digital filter such as a non-updated decision feedback equalizer is required to filter out the undesirable information. Therefore, it is desirous to improve digital filter circuit structure with a training of a non-updated decision feedback equalizer using exiting data structure of a communications system.
A method for training of a non-updated decision feedback equalizer for a VSB receiver is provided.
A method for training of a non-updated decision feedback equalizer for multi-leveled VSB receiver is provided.
A method for training of a non-updated decision feedback equalizer for 8-VSB receiver is provided.
A method for training of a non-updated decision feedback equalizer is provided. The method comprising the steps of: providing a sequence of frames adapted to be received by a receiver; provide a sequence of synchronization frames interposed between a predetermined number of frames; and using at least part of the sequence of synchronization frames to train a decision feedback equalizer (DFE), thereby speeding up system convergence or making system convergence possible.
The accompanying figures, where like reference numerals refer to identical or functionally similar elements throughout the separate views and which together with the detailed description below are incorporated in and form part of the specification, serve to further illustrate various embodiments and to explain various principles and advantages all in accordance with the present invention.
Skilled artisans will appreciate that elements in the figures are illustrated for simplicity and clarity and have not necessarily been drawn to scale. For example, the dimensions of some of the elements in the figures may be exaggerated relative to other elements to help to improve understanding of embodiments of the present invention.
Before describing in detail embodiments that are in accordance with the present invention, it should be observed that the embodiments reside primarily in combinations of method steps and apparatus components related to training of a non-updated decision feedback equalizer for a VSB receiver. Accordingly, the apparatus components and method steps have been represented where appropriate by conventional symbols in the drawings, showing only those specific details that are pertinent to understanding the embodiments of the present invention so as not to obscure the disclosure with details that will be readily apparent to those of ordinary skill in the art having the benefit of the description herein.
In this document, relational terms such as first and second, top and bottom, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. The terms “comprises,” “comprising,” or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by “comprises . . . a” does not, without more constraints, preclude the existence of additional identical elements in the process, method, article, or apparatus that comprises the element.
It will be appreciated that embodiments of the invention described herein may be comprised of one or more conventional processors and unique stored program instructions that control the one or more processors to implement, in conjunction with certain non-processor circuits, some, most, or all of the functions of using known sequences within the guard intervals being used for training of a non-updated decision feedback equalizer for a VSB receiver. The non-processor circuits may include, but are not limited to, a radio receiver, a radio transmitter, signal drivers, clock circuits, power source circuits, and user input devices. As such, these functions may be interpreted as steps of a method to training of a non-updated decision feedback equalizer for a VSB receiver. Alternatively, some or all functions could be implemented by a state machine that has no stored program instructions, or in one or more application specific integrated circuits (ASICs), in which each function or some combinations of certain of the functions are implemented as custom logic. Of course, a combination of the two approaches could be used. Thus, methods and means for these functions have been described herein. Further, it is expected that one of ordinary skill, notwithstanding possibly significant effort and many design choices motivated by, for example, available time, current technology, and economic considerations, when guided by the concepts and principles disclosed herein will be readily capable of generating such software instructions and programs and ICs with minimal experimentation.
Referring to
Matrix inversion block 110 generates two adjustment paths, a first path 112 and a second path 114. First path 112 adjusts a feed forward equalizer block (FFE) 116, which receives the real portion of the equalizer input 102 extracted by block 104. Second path 114 adjusts a feedback equalizer block (FBE) 118, which also receives sliced information from a slicer 124. The outputs of both FFE and 116 and FBE 118 are input into an adder 120. The added inputs are the equalizer output 122. Output 122 is further subjected to slicer 124 and supplied to FBE 118.
As can be seen, the coefficients of the decision feedback equalizer 100 for a VSB receiver such as an 8-VSB receiver could be directly calculated through the real part of the channel estimation. The coefficients can be the optimum solution for the data at exactly that moment. However, if the equalizer input data are noisy i.e. noise-to-data ratio is deemed high; it is still very difficult to generate good equalizer output data 122 before the Slicer 124. If this is the case, the Slicer 124 will make wrong decisions and the FBE output 118 will not be able to cancel the inter-symbol interferences caused by the post cursor, which is the multipath path bins after the main path of the channel impulse response. As a result, more noise in equalizer output 122 is generated. The system will go into positive feedback and eventually diverge.
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The decision feedback equalizer (DFE) of the present invention may be a non-updated DFE. The nature of non-updated DFE determines that the training process is necessary.
In the foregoing specification, specific embodiments of the present invention have been described. However, one of ordinary skill in the art appreciates that various modifications and changes can be made without departing from the scope of the present invention as set forth in the claims below. Accordingly, the specification and figures are to be regarded in an illustrative rather than a restrictive sense, and all such modifications are intended to be included within the scope of present invention. The benefits, advantages, solutions to problems, and any element(s) that may cause any benefit, advantage, or solution to occur or become more pronounced are not to be construed as a critical, required, or essential features or elements of any or all the claims. The invention is defined solely by the appended claims including any amendments made during the pendency of this application and all equivalents of those claims as issued.
Terms and phrases used in this document, and variations thereof, unless otherwise expressly stated, should be construed as open ended as opposed to limiting. As examples of the foregoing: the term “including” should be read as mean “including, without limitation” or the like; the term “example” is used to provide exemplary instances of the item in discussion, not an exhaustive or limiting list thereof; and adjectives such as “conventional,” “traditional,” “normal,” “standard,” and terms of similar meaning should not be construed as limiting the item described to a given time period or to an item available as of a given time, but instead should be read to encompass conventional, traditional, normal, or standard technologies that may be available now or at any time in the future. Likewise, a group of items linked with the conjunction “and” should not be read as requiring that each and every one of those items be present in the grouping, but rather should be read as “and/or” unless expressly stated otherwise. Similarly, a group of items linked with the conjunction “or” should not be read as requiring mutual exclusivity among that group, but rather should also be read as “and/or” unless expressly stated otherwise.
The following applications of common assignee and filed on the same day herewith are related to the present application, and are herein incorporated by reference in their entireties: U.S. patent application Ser. No. ______ with attorney docket number LSFFT-102. U.S. patent application Ser. No. ______ with attorney docket number LSFFT-103. U.S. patent application Ser. No. ______ with attorney docket number LSFFT-104. U.S. patent application Ser. No. ______ with attorney docket number LSFFT-105. U.S. patent application Ser. No. ______ with attorney docket number LSFFT-106. U.S. patent application Ser. No. ______ with attorney docket number LSFFT-107.