The present invention concerns a system for the blind demodulation of a linearly modulated digital telecommunication signal and comprising modules allowing the estimation, monitoring of the temporal variations and corrections in the value of the phases, amplitudes, frequencies, time offsets and a set of compensation filters of the propagation channel, characterized in that it comprises at least one hardware or hardware and firmware architecture comprising memories and one or more processing units for implementing a network of specific calculation blocks connected to each other, including a block for the blind synchronization of the signal allowing the estimation, monitoring and compensation of the delay of the signal and also making it possible to adapt the processing rate of the downstream chain (of the demodulation system) to the reduced cadence of one sample per symbol, a first block incorporates at least one module making it possible to estimate at least one of the parameters of the observed signals in order to subsequently evaluate the other parameters of the observed signals, by other calculation blocks of the network, at least a second specialized calculation block incorporates a decision module in order to calculate an error signal and retro-propagate the calculated errors to each of the preceding residual blocks.

Apparatus and associated methods relate to adapting a continuous time linear equalization circuit with minimum mean square error baud-rate clock and data recovery circuit to be able to lock to the center or near center of an eye diagram. In an illustrative example, a circuit may include an inter-symbol interference (ISI) detector configured to receive data and error samples, a summing circuit coupled to the output of the ISI detector, a moving average filter configured to receive the output of the summing circuit and generate an average output, a voter configured to generate a vote in response to the average output and a predetermined threshold, and, an accumulator and code generator configured to generate a code signal in response to the generated vote. By introducing the moving average filter and the voter, a quicker way to lock to the center or near center of an eye diagram may be obtained.

An electronic system includes a feedforward equalizer, a feedback equalizer, an RFI canceler, and a control circuit. The feedforward equalizer and the feedback equalizer are configured to adjust the channel response of a transmission channel in the electronic system. The RFI canceler is configured to cancel the RFI presence in the electronic system. When the RFI canceler is off, the controller is configured to turn on the RFI canceler according to a signal error value before RFI cancelation, an error term of the electronic system, or an SNR of the electronic system.

A receiver includes a continuous-time equalizer, a decision-feedback equalizer (DFE), data and error sampling logic, and an adaptation engine. The receiver corrects for inter-symbol interference (ISI) associated with the most recent data symbol (first post cursor ISI) by establishing appropriate equalization settings for the continuous-time equalizer based upon a measure of the first-post-cursor ISI.

A transceiver architecture supports high-speed communication over a signal lane that extends between a high-performance integrated circuit (IC) and one or more relatively low-performance ICs employing less sophisticated transmitters and receivers. The architecture compensates for performance asymmetry between ICs communicating over a bidirectional lane by instantiating relatively complex transmit and receive equalization circuitry on the higher-performance side of the lane. Both the transmit and receive equalization filter coefficients in the higher-performance IC may be adaptively updated based upon the signal response at the receiver of the higher-performance IC.

Embodiments are disclosed for channel estimation in a receiver of a communication system. An example method includes receiving, via a receiver of a communication system, an input signal. The example method further includes using a first event indicator embedded in an analog circuit of the receiver to slice the input signal to generate a sliced input signal and applying an offset to the input signal to generate an offsetted signal. The example method further includes using a second event indicator embedded in the analog circuit to slice the offsetted signal to generate a sliced offsetted signal. The example method further includes applying a first predefined delay to the sliced input signal and applying a second predefined delay to the sliced offsetted signal. The example method further includes generating a conditional ones signal based on the sliced input signal and the sliced offsetted signal and using the conditional ones signal to calibrate an equalizer embedded in the receiver.

A method for decreasing multi-path interference, for a vehicle radio receiver including at least two radio reception antennas that each receive a plurality of radio signals composed of time-shifted radio signals resulting from a multi-path effect. The plurality of radio signals combined to deliver a combined radio signal y.sub.s to be played, with: y.sub.n=W.sub.n.sup.T[G.sub.1,n.sup.S, X.sub.1,n+G.sub.2,n.sup.S, X.sub.2,n] at time n, where x.sub.1 and x.sub.2 are vectors the components of which correspond to the plurality of signals received by the first antenna and by the second antenna, respectively, G.sub.1,n.sup.S and G.sub.2,n.sup.S are scalars the components of which are the complex weights of a spatial filter and w.sub.n.sup.T is the transpose matrix of a vector the components of which are the complex weights of a temporal filter. The method includes implementation of an iterative adaptation algorithm to determine the complex weights of the spatial filter and the complex weights of the temporal filter.

A receiver includes a continuous-time equalizer, a decision-feedback equalizer (DFE), data and error sampling logic, and an adaptation engine. The receiver corrects for inter-symbol interference (ISI) associated with the most recent data symbol (first post cursor ISI) by establishing appropriate equalization settings for the continuous-time equalizer based upon a measure of the first-post-cursor ISI.

A receiver device includes circuitry and memory. The circuitry converts an input signal into a data signal that includes data symbols transmitted in successive unit intervals (UIs), determines a first threshold associated with a first symbol type, adjusts a gain of the receiver device such that an average amplitude of data signal samples, when receiving data symbols having the first symbol type, corresponds to the first threshold, determines a second threshold that corresponds to an average amplitude of the data signal samples when data symbols of a current UI have the first symbol type and data symbols of a first UI, at a first determined time distance from the current UI, have a second symbol type, and computes, as a first cursor value associated with the first UI, a first difference between the first threshold and the second threshold, multiplied by a first constant.

A method for decreasing multi-path interference, for a vehicle radio receiver including at least two radio reception antennas that each receive a plurality of radio signals composed of time-shifted radio signals resulting from a multi-path effect. The plurality of radio signals combined to deliver a combined radio signal y.sub.s to be played, with: y.sub.n=W.sub.n.sup.T[G.sub.1,n.sup.S, X.sub.1,n+G.sub.2,n.sup.S, X.sub.2,n ] at time n, where x.sub.1 and x.sub.2 are vectors the components of which correspond to the plurality of signals received by the first antenna and by the second antenna, respectively, G.sub.1,n.sup.S and G.sub.2,n.sup.S are scalars the components of which are the complex weights of a spatial filter and w.sub.n.sup.T is the transpose matrix of a vector the components of which are the complex weights of a temporal filter. The method includes implementation of an iterative adaptation algorithm to determine the complex weights of the spatial filter and the complex weights of the temporal filter.