A symbol rate estimating device includes: a power spectrum density (PSD) estimating unit, estimating a PSD of an input signal; an index searching unit, searching for a cut-off frequency index in the PSD; an adjacent channel interference (ACI) detecting unit, detecting whether the input signal has ACI to generate a detection signal; a threshold adjusting unit, generating an adjusted index number threshold according to the detection signal; an index output unit, outputting the cut-off frequency index according to the adjusted index number threshold; and a symbol calculating unit, calculating a symbol rate of the input signal according to the cut-off frequency index.

A symbol rate estimating device includes: a power spectrum density (PSD) estimating unit, estimating a PSD of an input signal; an index searching unit, searching for a cut-off frequency index in the PSD; an adjacent channel interference (ACI) detecting unit, detecting whether the input signal has ACI to generate a detection signal; a threshold adjusting unit, generating an adjusted index number threshold according to the detection signal; an index output unit, outputting the cut-off frequency index according to the adjusted index number threshold; and a symbol calculating unit, calculating a symbol rate of the input signal according to the cut-off frequency index.

Systems and methods for decoding block and concatenated codes are provided. These include advanced iterative decoding techniques based on belief propagation algorithms, with particular advantages when applied to codes having higher density parity check matrices such as iterative soft-input soft-output and list decoding of convolutional codes, Reed-Solomon codes and BCH codes. Improvements are also provided for performing channel state information estimation including the use of optimum filter lengths based on channel selectivity and adaptive decision-directed channel estimation. These improvements enhance the performance of various communication systems and consumer electronics. Particular improvements are also provided for decoding HD radio signals, satellite radio signals, digital audio broadcasting (DAB) signals, digital audio broadcasting plus (DAB+) signals, digital video broadcasting-handheld (DVB-H) signals, digital video broadcasting-terrestrial (DVB-T) signals, world space system signals, terrestrial-digital multimedia broadcasting (T-DMB) signals, and China mobile multimedia broadcasting (CMMB) signals. These and other improvements enhance the decoding of different digital signals.

An OFDM receiver has a first, pilot-aided channel estimation block, an output of which is provided, along with the received signal, to a first equaliser block. An output of the first equaliser block is provided, along with the received signal, to a second, data-aided channel estimation block. An output of the second channel estimation block is provided, along with the output of the first equaliser block and the received signal, to an adjustable interference cancellation block. The output of the interference cancellation block and the output of the second channel estimation block are provided to a second equaliser block. An output of the second equaliser block is provided to a de-mapping block, and is provided to the second channel estimation block and the interference cancellation block, for allowing an iterative repetition of second channel estimation, interference cancellation and second equalisation for a received signal.

This disclosure relates to methods, systems, and devices for AI/ML assisted wireless channel fingerprinting, estimation, and prediction. In one example embodiment, a method of combined AI/ML assisted wireless channel fingerprinting and channel prediction is disclosed. The method includes using a trained neural network to fingerprint the channel with the channel fingerprinting results advantageously being leveraged to improve the channel prediction.

A system and a method are disclosed for performing data-aided channel tracking for a subcarrier, including obtaining a reference channel estimate (CE) at a first time instance using a reference signal; determining, based on the obtained reference CE and based on received data symbols, a data-aided CE at a second time instance that is subsequent to the first time instance; and sequentially determining one or more additional data-aided CEs, for one or more time instances subsequent to the second time instance, based on a data-aided CE obtained at a previous time instance and based on the received data symbols.

Systems and methods for decoding block and concatenated codes are provided. These include advanced iterative decoding techniques based on belief propagation algorithms, with particular advantages when applied to codes having higher density parity check matrices such as iterative soft-input soft-output and list decoding of convolutional codes, Reed-Solomon codes and BCH codes. Improvements are also provided for performing channel state information estimation including the use of optimum filter lengths based on channel selectivity and adaptive decision-directed channel estimation. These improvements enhance the performance of various communication systems and consumer electronics. Particular improvements are also provided for decoding HD radio signals, satellite radio signals, digital audio broadcasting (DAB) signals, digital audio broadcasting plus (DAB+) signals, digital video broadcasting-handheld (DVB-H) signals, digital video broadcasting-terrestrial (DVB-T) signals, world space system signals, terrestrial-digital multimedia broadcasting (T-DMB) signals, and China mobile multimedia broadcasting (CMMB) signals. These and other improvements enhance the decoding of different digital signals.

A Sampling Frequency Offset (SFO) tracking and estimation circuit performs SFO compensation on incoming data. A SFO acquisition module makes an initial coarse estimate using a Network Time Base (NTB) from the Media-Access-Controller (MAC) layer, or from the physical layer using adjacent synchronization symbols. A preamble channel estimator compares a frequency-domain preamble symbol to a reference symbol to generate a first channel estimate. As additional symbols are received, converted to the frequency domain, demodulated, and error corrected, the resulting data are re-error-encoded and compared to the same symbol stored before error correction and demodulation to generate a decision feedback channel estimate. The conjugate of the decision feedback channel estimate is multiplied by the last channel estimate to generate a new SFO estimate that is scaled by a filter constant and used to adjust SFO compensation. Each symbol generates a new estimate without using pilots.

Methods, systems, devices, and apparatuses are described for phase noise estimation. A transmitting device identifies a phase noise metric associated with a receiving device. The phase noise metric provides an indication of the expected phase noise for the receiving device. The transmitting device selects a plurality of pilot tones adjacent to each other and a plurality of null tones for a transmission to the receiving device based on the phase noise metric. The plurality of null tones may be adjacent to and on both sides of the pilot tones in the frequency domain. The transmitting device identifies its own phase noise metric and select the pilot tones adjacent to each other and plurality of null tones in further consideration of its own phase noise metric. The receiving device may use the pilot tones and plurality of adjacent null tones to determine a phase noise estimation for the transmission.

The present disclosure relates to a 5G or pre-5G communication system to be provided to support a higher data transmission rate beyond the 4G communication system, such as LTE. The present invention provides a method for estimating a downlink channel by a receiver in a wireless communication system, the method comprising: estimating the downlink channel on the basis of a reference signal to recover an information bit, and checking whether the information bit recovery has succeeded; and when the information bit recovery has not succeeded, selecting at least one of the received signals as a virtual reference signal on the basis of the accuracy of the data reconstructed at a related resource location and the correlation between the related resource location and a resource location related to the reference signal, and estimating the downlink channel on the basis of at least one virtual reference signal.