Wireless Receiver Distortion Cancellation Using Dual Channel Estimates
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Solution Overview
Problem
Wireless devices face distortion issues due to increased output power causing clipping, leading to elevated in-band noise and inaccurate symbol estimation, which can result in undecodable data and increased power consumption.
Innovation Solution
A wireless device system that determines multiple channel estimates based on non-precoded and precoded signals to accurately estimate distortion, allowing for a distortion reduction operation to generate a reduced-distortion signal, thereby improving symbol estimation and reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If the transmitter is configured to reduce input backoff to increase output power, then the communication range is improved, but the transmitter clips the output signal causing wide band distortion and elevated in-band noise
Solution Approach 1:
The receiver performs preliminary channel estimation using a non-precoded signal before processing the precoded signal. This preliminary channel estimate is used to predict and remove distortion from the precoded signal, preventing distortion from degrading the received signal quality before detection occurs.
Solution Approach 2:
The system transmits both non-precoded and precoded signals, where the non-precoded signal appears to be redundant but actually serves as a reference for estimating channel characteristics and predicting distortion. This transforms what could be seen as wasted transmission resources into a beneficial tool for distortion cancellation.
2Object-affected harmful factors
If the receiver performs iterative distortion estimation and removal, then distortion is reduced, but power consumption increases and symbol estimation accuracy may still be insufficient for high distortion levels
Solution Approach 1:
The receiver performs preliminary channel estimation using a non-precoded signal before processing the precoded signal. This preliminary channel estimate is used to predict and remove distortion from the precoded signal, preventing distortion from degrading the received signal quality before detection occurs.
Solution Approach 2:
The non-precoded signal serves as an intermediary reference that enables the receiver to estimate channel characteristics without being affected by precoding operations. This intermediary signal allows for accurate distortion prediction that would be difficult to obtain from the precoded signal alone.
3Ease of operation
If linear detectors are used for symbol estimation under high distortion conditions, then the detection process is simple, but symbol estimation accuracy is insufficient leading to undecodable data
Solution Approach 1:
The receiver performs preliminary channel estimation using a non-precoded signal before processing the precoded signal. This preliminary channel estimate is used to predict and remove distortion from the precoded signal, preventing distortion from degrading the received signal quality before detection occurs.
Data Source
AI summary
A device includes one or more antennas configured to receive a first signal and a second signal from a second device. The first signal includes a non-precoded signal. The device further includes a receiver coupled to the one or more antennas. The receiver is configured to determine a first channel estimate based on the first signal and determine a second channel estimate based on the second signal. The receiver is also configured to determine an estimated distortion based at least in part on the first channel estimate and the second channel estimate. The receiver is further configured to perform a distortion reduction operation on the second signal based on the estimated distortion to generate a reduced-distortion signal.


