Maximum Likelihood and Suboptimal Schemes for Micro-Doppler Estimation using Carrier Diverse Doppler Radars
نویسندگان
چکیده
Carrier diverse radars, known as dual frequency radars, employ two different frequencies, and can be effective in determining the moving target range in urban sensing and through-the-wall radar applications. In this paper, we derive the maximum likelihood (ML) estimator for the micro-Doppler motion parameters from the dual frequency radar returns. Micro-Doppler signatures, which are commonly associated with vibrating, oscillating, and rotating objects, have emerged to be an important tool in target detection and classification. Unlike linear models, the respective ML estimator does not assume a closed form expression. We solve the ML estimator for dual-frequency radar operations by applying an iteratively reweighted nonlinear least squares algorithm (IRNLS), which is initiated using suboptimal solutions. The ML-IRNLS algorithm is applied to both simulated and experimental radar returns for estimating the range and the motion parameters of indoor targets. KeywordsDoppler radar, carrier diversity, urban sensing, micro-Doppler, maximum likelihood.
منابع مشابه
Dual Frequency Doppler Radars for Indoor Range Estimation: Cramr-Rao Bound Analysis
Single frequency Doppler radars are effective in distinguishing moving targets from stationary targets, but suffer from inherent range ambiguity. With a dual-frequency operation, a second carrier frequency is utilized to overcome the range ambiguity problem. In urban sensing applications, the dual-frequency approach offers the benefit of reduced complexity, fast computation time, and real time ...
متن کاملAdaptive Signal Detection in Auto-Regressive Interference with Gaussian Spectrum
A detector for the case of a radar target with known Doppler and unknown complex amplitude in complex Gaussian noise with unknown parameters has been derived. The detector assumes that the noise is an Auto-Regressive (AR) process with Gaussian autocorrelation function which is a suitable model for ground clutter in most scenarios involving airborne radars. The detector estimates the unknown...
متن کاملMicro-Doppler Ambiguity Resolution for Wideband Terahertz Radar Using Intra-Pulse Interference
Micro-Doppler, induced by micro-motion of targets, is an important characteristic of target recognition once extracted via parameter estimation methods. However, micro-Doppler is usually too significant to result in ambiguity in the terahertz band because of its relatively high carrier frequency. Thus, a micro-Doppler ambiguity resolution method for wideband terahertz radar using intra-pulse in...
متن کاملExperiments on Through-the-Wall Motion Detection and Ranging
In this paper, we consider moving target detection and ranging for indoor sensing applications in urban environments. A simple method is used to determine the unambiguous range of an indoor moving target using dual frequency continuous wave (CW) radars. The dual-frequency radar employs two different carrier frequencies and simultaneously measures the phase change with respect to time, for each ...
متن کاملMultiuser Detection and Channel Estimation for Flat Rayleigh Fading Mobile Radio CDMA Channels
We compare the performance of suboptimal multiuser detectors for rapidly time-varying fading channels. Disjoint Kalman filters are incorporated in the detector structure to obtain phase and amplitude estimates for coherent detection and multi-access interference cancellation. We also evaluate performance of several multiuser detectors which do not require channel estimation. Our results indicat...
متن کامل