A computer-implemented method is provided for filtering clutter from a radar signal received by an antenna. The method includes determining a transient clutter voltage at first and second times separated by a time interval, determining a clutter correlation for the time interval, and dividing a received signal correlation by the clutter correlation. In alternate embodiments, the clutter correlation can be combined with a noise correlation and the sum divided by the signal correlation.

A multiple input multiple output (MIMO) antenna for a radar system includes a receive antenna, a first transmit-antenna-arrangement, and a second transmit-antenna-arrangement. The receive-antenna is configured to detect radar-signals reflected by a target toward the receive-antenna. The first transmit-antenna-arrangement includes a first vertical-array of radiator elements and a second vertical-array of radiator elements. The first transmit-antenna-arrangement is configured so the first vertical-array can be selectively coupled to a transmitter independent of the second vertical-array. The second transmit-antenna-arrangement includes a third vertical-array of radiator elements and a fourth vertical-array of radiator elements. The second transmit-antenna-arrangement is configured so the third vertical-array can be selectively coupled to a transmitter independent of the fourth vertical-array. The second transmit-antenna-arrangement is vertically offset from the first transmit-antenna-arrangement by a vertical offset distance selected so an elevation angle to the target can be determined by the receive-antenna.

Radar signal detection and parameter estimation is central in passive surveillance systems, providing inputs for many information processing modules in order to detect, localize, indentify and intercept hostile targets. The proposed method for detecting radar signals and estimating their intra-pulse parameters in time-varying noisy environments consists of several stages: magnitude-squared envelopes calculation, adaptive noise floor estimation, detection statistics calculation, rising edge detection, time of arrival estimation, falling edge detection, time of departure estimation, pulse width estimation, amplitude estimation and center frequency and bandwidth estimation. Estimated intra-pulse parameters are wrapped into pulse descriptor words (PDWs) for information processing tasks, where each PDW consists of time of arrival, time of departure, pulse width, pulse amplitude, center frequency, signal bandwidth, noise floor level and additional useful information. The method is sequential, implemented in hardware platforms for real-time surveillance applications. The proposed method yielded much better performance than classical threshold-based edge (TED) detection methods.

Disclosed is a radar signal processing device including a shift unit to shift either one of an ascending sequence signal in which the frequency of a pulse wave rises discretely with time and a descending sequence signal in which the frequency of a pulse wave falls discretely with time.