SNR/bandwidth tradeoff in coherent radar sampling

It is shown that if the pulse-repetition frequency of a coherent pulse-Doppler radar is at least twice the Doppler bandwidth, one may, using appropriate downconversion, sample the radar signal at half the Nyquist rate with no loss in range resolution and no folding of Doppler frequencies. This results in a 3-dB loss of signal-to-noise ratio     

A maximum likelihood approach to data association

An approach is presented to data association (DA) problems for which measurements are independent from scan to scan. It is demonstrated that maximum likelihood (ML) estimation of target parameters may be efficiently implemented by an EM iterative scheme. The algorithm is applied to multitarget trajectory estimation of constant-velocity targets from passive (bearing-only) sensors     

Time delay estimation at high signal-to-noise ratio

The estimation of the delay between two signals is examined in the limit of high signal-to-noise ratio (SNR). It is shown that for the case of white noise, cross correlation with no prefiltering approaches the optimal maximum-likelihood (ML) estimator as the SNR grows to infinity. In simulation experiments with SNRs greater than 1, it outperforms the approximate ML estimator, which is based on estimated spectra. Other algorithms, such as generalized cross correlation or parameter estimation algorithms, are shown to be suboptimal at high SNRs