No abstract

The paper considers the algorithm for estimating the speed and distance to the target as applied to the mm wave automotive radar with linear FMCW. To extend the range of target speed estimation, a signal in the form of a Chirp Sequence Waveform is used with a shift of the initial frequency in the adjacent chirps of the frame. A mathematical model of the received microwave signal is proposed, taking into account a wide range of velocity changes of the target, as well as the effect of additive white Gaussian noise on the radar receiver. It is shown that the signal-to-noise ratio of 10 dB is necessary for the algorithm to work, and that the unambiguity and consistency of the speed estimate is limited by the first two Nyquist zones for the Doppler frequency.

The results of synthesis and analysis of the effectiveness of the optimal location-based system for joint detection and estimation of informative parameters of quasi-determined radar signals with frequency modulated continuous wave are presented. A method has been developed for calculating the noise immunity indices of frequency modulated continuous wave radars and the detection threshold of signals in the quadrature channels of the optimal radar receiver based on off-center χ‘2-distribution for given technical characteristics of the location system, including the mode of operation for detecting and evaluating parameters in multi-target mode.

Accurate remote determination of the object coordinates in 3D space is one of the main questions in many applications. In one of the most popular methods, such determination of the location of an object uses the measurement by receiving an electromagnetic signal transmitted by several spatially distributed base stations (BS). The main problem is that it is necessary to reduce errors and computation time. To overcome these difficulties, an analytical method for determining the position of an object based on the analysis of time difference of arrival (TDoA) of signals from the transmitter of the object to the receivers of the BS is proposed. One of the main advantages of this method is that it is possible to eliminate the ambiguity in determining the coordinates of the object in space and to increase the accuracy of determining the coordinates when the TDoA measurement between base stations fluctuates. Applications for autonomous automotive vehicles and spacebased positioning systems are analyzed. The results obtained show that the proposed algorithm has an accuracy of determining coordinates several times higher than the method of linearization of hyperbolic equations and is less sensitive to TDoA fluctuations at base stations.

This article explores the properties of the multi-target method for small unmanned vehicles parameters remote determination by microwave radars, which allows to expand significantly the range of unambiguously determined speeds of unmanned vehicles. The reasons of occurrence of false targets and their number in the mode of the parameters simultaneous measurement for the set of unmanned vehicles are identified. Using a computer experiment in LabVIEW, the probability of the unmanned vehicles true parameters determination at various ratios of the signal to noise at the input of the radar receiver in multi-target mode was investigated.

The influence of millimeter-wave radar receiver noise on the probability of unambiguous determination of unmanned vehicles speed and range in the intelligent transportation system of the «smart city» is investigated. For the proposed new multi-target detection method for FMCW radar, the effect of the technical parameters of the vehicle radars on the required signal-to-noise ratio (SNR) of the receiver is estimated to ensure the probability of true determination of target parameters at 98%.

An analytical method is proposed for determining the position of an object based on the analysis of Time Difference of Arrival (TDoA) of signals from the transmitter of the object to the base stations (BS) receivers, which eliminates the ambiguity in determining the coordinates of the object on the plane and improves the accuracy of determining coordinates when the TDoA measurements are out of sync with base stations.

No abstract