Direct digital synthesis of signals using maximum likelihood bit-stream encoding

US9632750B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9632750-B2
Application numberUS-201514944184-A
CountryUS
Kind codeB2
Filing dateNov 17, 2015
Priority dateOct 27, 2011
Publication dateApr 25, 2017
Grant dateApr 25, 2017

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Abstract

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Maximum likelihood bit-stream generation and detection techniques are provided using the M-algorithm and Infinite Impulse Response (IIR) filtering. The M-Algorithm is applied to a target input signal X to perform Maximum Likelihood Sequence Estimation on the target input signal X to produce a digital bit stream B, such that after filtering by an IIR filter, the produced digital stream Y produces an error signal satisfying one or more predefined requirements. The predefined requirements comprise, for example, a substantially minimum error. In an exemplary bit detection implementation, the target input signal X comprises an observed analog signal and the produced digital stream Y comprises a digitized output of a receive channel corresponding to a transmitted bit stream. In an exemplary bit stream generation implementation, the target input signal X comprises a desired transmit signal and the produced digital stream Y comprises an estimate of the desired transmit signal.

First claim

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What is claimed is: 1. Machine readable storage media having machine executable instructions, that when executed, cause one or more processors to perform an operation comprising: apply an M-Algorithm to a target input signal X to perform Maximum Likelihood Sequence Estimation to produce a digital bit stream B; filter the digital bit stream B to produce a filtered digital bit stream B; and generate a digital stream Y from the filtered digital bit stream B, wherein the digital stream Y produces an error signal with respect to the target input signal X satisfying one or more predefined requirements. 2. The machine readable storage media of claim 1 , wherein the target input signal X comprises a desired transmit signal, and wherein the digital stream Y comprises an estimate of a desired transmit signal. 3. The machine readable storage media of claim 1 , wherein the one or more predefined requirements comprise a substantially minimum error. 4. The machine readable storage media of claim 3 , wherein the substantially minimum error comprises a difference between a digital output of an Infinite Impulse Response (IIR) filter and the target input signal X. 5. The machine readable storage media of claim 4 having machine executable instructions, that when executed, cause the one or more processors to perform an operation which comprises: apply the digital stream Y to one or more of a switching type power amplifier and an analog restitution filter. 6. The machine readable storage media of claim 5 , wherein an output of the analog restitution filter comprises an analog RF signal that approximates the target input signal X. 7. The machine readable storage media of claim 5 , wherein the IIR filter has a frequency response that is similar to a frequency response of the analog restitution filter. 8. The machine readable storage media of claim 5 , wherein the analog restitution filter comprises one or more of: a passive filter, a resistive-inductive-capacitive (R-L-C) circuit; or a transmission line. 9. The machine readable storage media of claim 4 , wherein said IIR filter comprises a passband filter and the target input signal is a baseband signal modulated to an RF frequency in a digital domain. 10. The machine readable storage media of claim 4 , wherein the IIR filter comprises a baseband filter, and wherein the target input signal X is a baseband signal. 11. The machine readable storage media of claim 4 , wherein the IIR filter is a model of a transmitter analog output channel that is to carry the digital stream Y. 12. The machine readable storage media of claim 4 , wherein the target input signal X comprises an observed analog signal, and wherein the digital stream Y comprises a digitized output of a receive channel corresponding to a transmitted bit stream. 13. The machine readable storage media of claim 12 , wherein the BR filter is a model of an analog receive channel that the observed analog signal passed through. 14. The machine readable storage media of claim 1 , wherein the digital stream is one of: NRZ, BPSK, QPSK, or QAM modulation formats. 15. The machine readable storage media of claim 1 , wherein the maximum likelihood sequence estimation incorporates and compensates for one or more of a non-linear memory of an RF power amplifier and a digital driver analog circuit. 16. The machine readable storage media of claim 1 having machine executable instructions, that when executed, cause the one or more processors to perform an operation which comprises: convert the generated digital stream Y to an analog signal using a transmitter of a serializer-deserializer. 17. The machine readable storage media of claim 16 , wherein the serializer-deserializer is embodied on a System on a Chip (SoC). 18. The machine readable storage media of claim 1 , wherein the maximum likelihood sequence estimation incorporates and compensates for a non-linear memory of one or more of a storage device read channel, a data channel and an analog receive channel. 19. The machine readable storage media of claim 18 , wherein bit detection is employed in the one or more of the storage device read channel and the data channel. 20. An apparatus, comprising: a first circuitry to perform Maximum Likelihood Sequence Estimation (MLSE), the first circuitry including: an encoder to perform MLSE to produce a digital bit stream B; and a filter to filter the digital bit stream B, and to provide a filtered but stream B; and a second circuitry to produce a digital stream Y from the filtered digital bit stream B, wherein the digital stream Y produces an error signal with respect to a target input signal X. 21. The apparatus of claim 20 , wherein the filter has a passband that is centered around a frequency of the target input signal X. 22. The apparatus of claim 20 , wherein the filter is one of a Finite Impulse Response (FIR) Filter or an Infinite Impulse Response (IIR) Filter. 23. The apparatus of claim 20 , wherein the MLSE is performed by applying one or more of: Viterbi scheme, Reduced State Sequence Estimation scheme, or M-algorithm. 24. The apparatus of claim 20 , wherein the first circuitry comprises a switching type power amplifier to receive the digital stream Y. 25. The apparatus of claim 20 , wherein the switching type power amplifier is a Class S amplifier. 26. The apparatus of claim 20 , wherein the first circuitry comprises an arithmetic logic to perform an operation on the filtered digital bit stream and the target input signal X. 27. The apparatus of claim 26 , wherein the arithmetic logic is an adder which is to perform a difference between the filtered digital bit stream B and the target input signal X. 28. The apparatus of claim 20 , wherein the second circuitry includes a restitution filter which is to approximate the target input signal X. 29. The apparatus of claim 28 , wherein the restitution filter comprises one or more of: a passive filter, a resistive-inductive-capacitive (R-L-C) circuit, or a transmission line. 30. The apparatus of claim 28 comprises: a transmitter of a serializer-deserializer to convert the generated digital stream Y to an analog signal. 31. The apparatus of claim 30 , wherein the serializer-deserializer is embodied on a System on a Chip (SoC).

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Classifications

  • Maximum-likelihood or sequential decoding, e.g. Viterbi, Fano, ZJ algorithms · CPC title

  • the amplifier comprising means for compensating memory effects · CPC title

  • for complex operations, e.g. multidimensional or interleaved address generators, macros · CPC title

  • G06F9/3001Primary

    Arithmetic instructions · CPC title

  • of transmitter output stages · CPC title

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What does patent US9632750B2 cover?
Maximum likelihood bit-stream generation and detection techniques are provided using the M-algorithm and Infinite Impulse Response (IIR) filtering. The M-Algorithm is applied to a target input signal X to perform Maximum Likelihood Sequence Estimation on the target input signal X to produce a digital bit stream B, such that after filtering by an IIR filter, the produced digital stream Y produce…
Who is the assignee on this patent?
Intel Corp
What technology area does this patent fall under?
Primary CPC classification G06F9/3001. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Apr 25 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).