UWB receiver error rate performance optimizing method by noncoherent energy detection

Abstract

The invention provides an error rate performance optimizing method of a noncoherent energy detecting UWB receiver, comprising the following steps: the outside band noise of a received signal is filtered via a bandpass filter; the signal is processed by a square-law detector, and after the synchronism process, the SNR estimation is carried out; an energy window is optimized; and an optimized threshold is selected based on a least square fitting correction gauss approximate threshold. The error rate performance optimizing method of a noncoherent energy detecting UWB receiver enables the receiver performance to be greatly improved by the combined optimization of the judgment threshold of the receiver and an energy integral window.

Description

technical field [0001] The invention relates to the field of wireless ultra-wideband communication receivers, in particular to a non-coherent energy detection UWB receiver bit error rate performance optimization method. Background technique [0002] Pulse ultra-wideband (IR-UWB) is a radio technology that uses extremely narrow pulse direct radiation for transmission. Due to its simple implementation, small size, low power consumption, and low cost, it is suitable for medium and low-speed wireless data applications, such as positioning, Control, sensor network, etc., have good application prospects. The non-coherent receiving method of UWB system based on energy integral detection can greatly reduce the complexity of the receiver because it avoids complex channel estimation and less strict synchronization requirements, and has become an ideal solution for actual system realization. The energy integration scheme usually uses a simple OOK modulation method, but due to the inhe...

AI Technical Summary

Problems solved by technology

The energy integration scheme usually adopts a simple OOK modulation method, but due to the inherent shortcomings of the OOK modulation method itself, and the improper selection of the integration window of the UWB receiver, the bit error performance of the receiver will not be high

At present, some studies have been done on the optimization of energy integrating receivers in some literatures, such as weighting the UWB-OOK signal, using Monte-Carlo simulation to give the proof of the existence of the optimal energy integrating window and using Gaussian distribution approximate x 2 distribution method to obtain the analytical expression of the optimized threshold, but they failed to conduct further theoretical analysis on the length of the energy integration window, and there is no better way to deal with the threshold than the Gaussian approximation

Images