An Implicit Imaging Communication Method Based on Quantization Error Minimization

Abstract

The invention relates to the field of visible light communication, in particular discloses an implicit imaging communication method based on quantization error minimization, comprising the following steps: sending the same signal S by utilizing N light emitting units; carrying out summation and superposition on an unquantized original image signal and the same signal, quantizing the superposed signal, and obtaining quantization errors and an error sum thereof, adjusting the quantized signal according to the error sum, and sending a waveform signal by adopting an adjusted quantized level signal. The implicit imaging communication method utilizes minimization design of the sum of quantization errors of multiple light emitting units, improves quantization signal-to-noise ratio of a weak signal and reduces influence of the quantization errors; and the implicit imaging communication method is applicable to quantized sending of arbitrary waveform.

Description

technical field [0001] The invention relates to the field of visible light communication, and specifically discloses an implicit imaging communication method based on quantization error minimization. Background technique [0002] In the field of imaging communication of visible light, traditional signal quantization and image space joint modulation methods are generally used. The traditional quantization method quantifies the signal of each light-emitting unit (pixel) independently. For multiple light-emitting units (a certain area) that send the same signal pixels) after summing, the overall quantization error depends on the correlation of the original image signal of the summing object. [0003] When the traditional method uses multiple light-emitting units (pixels) in the image space to jointly send a certain signal, multiple independently quantized pixel signals are directly superimposed, which only plays the role of accumulating signal energy without reducing the quanti...

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Problems solved by technology

[0004] In order to reduce the influence of quantization error, the traditional method is usually constrained by restricting the type of waveform to be sent (such as using a simple rectangular binary waveform, which can effectively reduce the quantization error when the number of quantization levels is small), and cannot solve the problem of sending any The problem of quantization error in waveforms. For communication signals, simple waveforms (such as rectangular waveforms) often have problems such as wide frequency band occupation and low information rate. Using waveforms with high randomness is beneficial to the design of communication signals

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