Zeng Jiankui

Improved Hough transform algorithm for radar detection

In this paper, we describe a new algorithm for radar detection based on Hough transform which employs the slope-intercept parameter space. Unlike the conventional Hough transform, we shift the parameter space cells to perform the transform. The computation burden is reduced. Another advantage of our proposed is that those straight lines whose intercept are bigger than the radar maximum range can also be detected in our method. In addition, we also investigate the performance of the algorithm we present and show its efficiency with some simulations.

The application of chaotic signal in MIMO radar

Multiple Input Multiple Output (MIMO) radar is a new radar technique. It has many advantages over conventional phased radar in many ways such as anti-intercept of radar signal, low velocity target detection, and resolution. The signal design is a chief problem for radar. In this paper, we analyze the chaotic signal for MIMO radar.

The chaotic signal design for MIMO radar

The study of multiple-input multiple-output (MIMO) radar has received much attention from researchers in recent years. It has many advantages over conventional phased radar in many ways such as anti-intercept of radar signal, low velocity target detection, and resolution. The signal design is an important problem for radar which decides the performance of radar. In this paper, the chaotic signal is employed to the MIMO radar application. Some preprocessed method is employed to make the signal has small Crest Factor (CF), large bandwidth. Some simulation is presented to show efficiency of proposed method.

Study on MIMO radar detection performance

Multiple Input Multiple Output (MIMO) radar is a new radar technique. It has many advantages over conventional phased radar in many ways such as anti-intercept of radar signal, low velocity target detection, and resolution. In this paper, we analyze the signal model and signal processing for MIMO radar. And we compare the SNR of MIMO radar with that of conventional phased array radar. It can be seen that the SNR of MIMO radar is the same as that of phased array radar.

A Research on MIMO Radar Based on Simulation

MIMO radar (Multiple input multiple output radar) is a new radar developed recently. It outperforms the conventional phased radar in target detection. In this paper, the non-ideal factor of transmitting signal is considered. Firstly, the signal model of MIMO radar is investigated. And then the steps of the signal processing in MIMO radar are researched. At last, a simulation platform is established with the MATLAB to testify the advantage of MIMO radar over its conventional counterpart.

Some MIMO radar advantages over phased array radar

MIMO radar is a new radar technique developed recently. It can achieve better detection performance than conventional phased radar. In this paper, we investigate some advantages of MIMO radar on the non-ideal factor of transmitting signal such as the instability in signal phase and the spur in transmitting signal etc. And then, a simulation system was established, some simulation shows the advantage of MIMO radar over its conventional counterpart.

A New Detection Method for MIMO Radar Using Hidden Markov Model

MIMO radar is a new radar technique developed recently. It can achieve better detection performance than conventional phased radar. Based on the scattering statistic of clutter and man-made target, we propose that hidden Markov models (HMM) can be used to model the clutter and target signals, and that the HMMs can be used to detect target. Simulation results verify its efficiency.

A novel signal processing method for MIMO radar based on channel estimation

Multiple Input Multiple Output (MIMO) radar is a new radar technique. It has many advantages over conventional phased radar in many ways such as anti-intercept of radar signal, low velocity target detection, and resolution. The signal transmit matrix of MIMO radar has much information such as target angle. In this paper, we analyze the signal model for MIMO radar. And then we present a new method to estimate the target angle from the matrix. At last, we show the efficiency by some simulations.

Study on MIMO radar velocity resolution

Multiple Input Multiple Output (MIMO) radar is a novel radar technique developed recently. It has many advantages over conventional phased radar in many ways such as anti-intercept of radar signal, low velocity target detection, and resolution. In this paper, the signal model and signal processing for MIMO radar is studied. And then, a simulation platform is established with Matlab. Using this platform, the advantage of velocity resolution of the MIMO radar over conventional phased array is researched.

The application of IMM in MIMO radar

Multiple Input Multiple Output (MIMO) radar has drawn much attention from researcher. It can effectively improve radar performance by transmitting specially designed orthogonal signals. In this paper, interacting Multiple Model(IMM) estimator is applied to MIMO radar. The detection flow based on IMM is presented in this paper.